"Authors","Author full names","Author(s) ID","Title","Year","Source title","Volume","Issue","Art. No.","Page start","Page end","Page count","Cited by","DOI","Link","Affiliations","Authors with affiliations","Abstract","Author Keywords","Index Keywords","Molecular Sequence Numbers","Chemicals/CAS","Tradenames","Manufacturers","Funding Details","Funding Texts","References","Correspondence Address","Editors","Publisher","Sponsors","Conference name","Conference date","Conference location","Conference code","ISSN","ISBN","CODEN","PubMed ID","Language of Original Document","Abbreviated Source Title","Document Type","Publication Stage","Open Access","Source","EID"
"La Cava L.; Greco S.; Tagarelli A.","La Cava, Lucio (57225912867); Greco, Sergio (57202439567); Tagarelli, Andrea (7004259889)","57225912867; 57202439567; 7004259889","Information consumption and boundary spanning in Decentralized Online Social Networks: The case of Mastodon users","2022","Online Social Networks and Media","30","","100220","","","","18","10.1016/j.osnem.2022.100220","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132365475&doi=10.1016%2fj.osnem.2022.100220&partnerID=40&md5=aa85846f77dd8b5ceae7c720a076639d","Dept. Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, 87036, Italy","La Cava L., Dept. Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, 87036, Italy; Greco S., Dept. Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, 87036, Italy; Tagarelli A., Dept. Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, 87036, Italy","Decentralized Online Social Networks (DOSNs) represent a growing trend in the social media landscape, as opposed to the well-known centralized peers, which are often in the spotlight due to privacy concerns and a vision typically focused on monetization through user relationships. By exploiting open-source software, DOSNs allow users to create their own servers, or instances, thus favoring the proliferation of platforms that are independent yet interconnected with each other in a transparent way. Nonetheless, the resulting cooperation model, commonly known as the Fediverse, still represents a world to be fully discovered, since existing studies have mainly focused on a limited number of structural aspects of interest in DOSNs. In this work, we aim to fill a lack of study on user relations and roles in DOSNs, by taking two main actions: understanding the impact of decentralization on how users relate to each other within their membership instance and/or across different instances, and unveiling user roles that can explain two interrelated axes of social behavioral phenomena, namely information consumption and boundary spanning. To this purpose, we build our analysis on user networks from Mastodon, since it represents the most widely used DOSN platform. We believe that the findings drawn from our study on Mastodon users’ roles and information flow can pave a way for further development of fascinating research on DOSNs. © 2022 Elsevier B.V.","Bridges; Information consumption; Lurking behavior; Mastodon user networks; Social boundary spanning","Behavioral research; Information dissemination; Open source software; Open systems; Boundary spanning; Centralised; Decentralised; Information consumption; Lurking behavior; Mastodon user network; Social boundary spanning; Social media; User networks; User roles; Social networking (online)","","","","","","","Datta A., Buchegger S., Vu L.-H., Strufe T., Rzadca K., Decentralized online social networks, Handbook of Social Network Technologies and Applications, pp. 349-378, (2010); Guidi B., Conti M., Passarella A., Ricci L., Managing social contents in decentralized online social networks: A survey, Online Soc. Netw. Media, 7, pp. 12-29, (2018); Bielenberg A., Helm L., Gentilucci A., Stefanescu D., Zhang H., The growth of Diaspora - A decentralized online social network in the wild, Proc. of the IEEE Conf. on Computer Communications (INFOCOM) Workshops, pp. 13-18, (2012); Hassan A.I., Raman A., Castro I., Zia H.B., De Cristofaro E., Sastry N., Tyson G., Exploring content moderation in the decentralised web: The Pleroma case, Proc. of the Int. Conf. on Emerging Networking EXperiments and Technologies (CoNEXT), pp. 328-335, (2021); Hassan A.I., Raman A., Castro I., Tyson G., The Impact of Capitol Hill on Pleroma: The case for decentralised moderation, Proc. of the CoNEXT Student Workshop, pp. 1-2, (2021); Cerisara C., Jafaritazehjani S., Oluokun A., Le H.T., Multi-task dialog act and sentiment recognition on Mastodon, Proc. of the 27th Int. Conf. on Computational Linguistics, pp. 745-754, (2018); Trienes J., Cano A.T., Hiemstra D., Recommending users: Whom to follow on federated social networks, (2018); Zignani M., Gaito S., Rossi G.P., Follow the “Mastodon”: Structure and evolution of a decentralized online social network, Proc. of the Int. Conf. on Web and Social Media (ICWSM), pp. 541-551, (2018); Raman A., Joglekar S., Cristofaro E.D., Sastry N., Tyson G., Challenges in the decentralised web: The Mastodon case, Proc. of the Internet Measurement Conference, pp. 217-229, (2019); Zignani M., Quadri C., Gaito S., Cherifi H., Rossi G.P., The footprints of a “Mastodon”: How a decentralized architecture influences online social relationships, Proc. of the IEEE Conf. on Computer Communications (INFOCOM) Workshops, pp. 472-477, (2019); Zulli D., Liu M., Gehl R., Rethinking the “social” in “social media”: Insights into topology, abstraction, and scale on the mastodon social network, New Media Soc., 22, 7, pp. 1188-1205, (2020); Varol O., Ferrara E., Davis C.A., Menczer F., Flammini A., Online human-bot interactions: Detection, estimation, and characterization, Proc. of the Int. Conf. on Web and Social Media (ICWSM), pp. 280-289, (2017); La Cava L., Greco S., Tagarelli A., Understanding the growth of the Fediverse through the lens of Mastodon, Appl. Netw. Sci., 6, 1, (2021); Newman M.E.J., Assortative mixing in networks, Phys. Rev. Lett., 89, (2002); Newman M.E.J., Mixing patterns in networks, Phys. Rev. E, 67, (2003); Blondel V.D., Guillaume J.-L., Lambiotte R., Lefebvre E., Fast unfolding of communities in large networks, J. Stat. Mech.: Theory Exp., P10008, pp. 1-12, (2008); Rosvall M., Bergstrom C.T., Maps of random walks on complex networks reveal community structure, Proc. Natl. Acad. Sci., 105, 4, pp. 1118-1123, (2008); Traag V.A., Waltman L., van Eck N.J., From louvain to leiden: guaranteeing well-connected communities, Sci. Rep., 9, 1, (2019); Onnela J.-P., Saramaki J., Hyvonen J., Szabo G., de Menezes M.A., Kaski K., Barabasi A.-L., Kertesz J., Analysis of a large-scale weighted network of one-to-one human communication, New J. Phys., 9, 6, (2007); Tagarelli A., Interdonato R., Lurking in social networks: topology-based analysis and ranking methods, Soc. Netw. Anal. Min., 4, 1, (2014); Sun N., Rau P.P.-L., Ma L., Understanding lurkers in online communities: a literature review, Comput. Hum. Behav., 38, pp. 110-117, (2014); Edelmann N., Reviewing the definitions of “lurkers” and some implications for online research, Cyberpsychol. Behav. Soc. Netw., 16, 9, pp. 645-649, (2013); Soroka V., Rafaeli S., Invisible participants: how cultural capital relates to lurking behavior, pp. 163-172, (2006); Gong W., Lim E., Zhu F., Characterizing silent users in social media communities, Proc. of the Int. Conf. on Web and Social Media (ICWSM), pp. 140-149, (2015); Wang L., Niu J., Liu X., Mao K., The silent majority speaks: Inferring silent users’ opinions in online social networks, Proc. of the World Wide Web Conference (WWW), pp. 3321-3327, (2019); La Cava L., Greco S., Tagarelli A., Network analysis of the information consumption-production dichotomy in Mastodon user behaviors, Proc. of the Int. AAAI Conf. on Web and Social Media (ICWSM), 16(1), pp. 1378-1382, (2022); Guidi B., When blockchain meets online social networks, Pervasive Mob. Comput., 62, (2020); Li C., Palanisamy B., Incentivized blockchain-based social media platforms: A case study of steemit, Proc. of the 10th ACM Conference on Web Science, pp. 145-154, (2019); Kapanova K., Guidi B., Michienzi A., Koidl K., Evaluating posts on the steemit blockchain: Analysis on topics based on textual cues, Proc. of the Int. Conf. on Smart Objects and Technologies for Social Good (GoodTechs), pp. 163-168, (2020); Guidi B., Michienzi A., Users and bots behaviour analysis in blockchain social media, Proc. of the Int. Conf. on Social Networks Analysis, Management and Security (SNAMS), pp. 1-8, (2020); Guidi B., Michienzi A., Ricci L., A graph-based socioeconomic analysis of Steemit, IEEE Trans. Comput. Soc. Syst., 8, 2, pp. 365-376, (2021); Ba C.T., Zignani M., Gaito S., Social and rewarding microscopical dynamics in blockchain-based online social networks, Proc. of the Int. Conf. on Information Technology for Social Good (GoodIT), pp. 127-132, (2021); Tagarelli A., Interdonato R., “Who's out there?”: identifying and ranking lurkers in social networks, Proc. of the Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM), pp. 215-222, (2013); Tagarelli A., Interdonato R., Time-aware analysis and ranking of lurkers in social networks, Soc. Netw. Anal. Min., 5, 1, pp. 461-46:23, (2015)","A. Tagarelli; Dept. Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, 87036, Italy; email: tagarelli@dimes.unical.it","","Elsevier B.V.","","","","","","24686964","","","","English","Online Soc. Netw. Med.","Article","Final","All Open Access; Green Open Access","Scopus","2-s2.0-85132365475"
"Khobzi H.; Canhoto A.I.; Ramezani M.S.","Khobzi, Hamid (56218402300); Canhoto, Ana Isabel (8832560400); Ramezani, Mohammad Sadegh (59379472200)","56218402300; 8832560400; 59379472200","Content creators at a crossroads between decentralized and centralized social media","2024","Business Horizons","","","","","","","0","10.1016/j.bushor.2024.04.010","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207191828&doi=10.1016%2fj.bushor.2024.04.010&partnerID=40&md5=fbb60c513284ef8ab3034f2515d74b86","University of Sussex Business School, University of Sussex, Brighton, BN1 9SL, United Kingdom; Research & Development Department, CITEX Co., Tehran, 1481815746, Iran","Khobzi H., University of Sussex Business School, University of Sussex, Brighton, BN1 9SL, United Kingdom; Canhoto A.I., University of Sussex Business School, University of Sussex, Brighton, BN1 9SL, United Kingdom; Ramezani M.S., Research & Development Department, CITEX Co., Tehran, 1481815746, Iran","Social media has become an important channel and source of income for content creators. However, the owners of centralized social media platforms may engage in practices and make decisions related to monetization, content moderation, and privacy and security, which may be detrimental to content creators’ earning potential and long-term success. As such, this article investigates the extent to which new types of social media platforms may address those three challenges due to their decentralized nature. Specifically, we analyze the potential and limitations of federated vs. blockchain-based social media platforms as platforms for content creators and provide recommendations for content creators. Given the role of user-generated content in the success of social media platforms, we also provide directions for research and development of decentralized social media to increase their relevance for content creators. © 2024 Kelley School of Business, Indiana University","Blockchain; Decentralization; Fediverse; Social media; Web3","","","","","","","","YouTube vs. Odysee earnings comparison 2024, ODYSEE.COM, (2024); Abbing R.R., Diehm C., Warreth S., Decentralised social media, Internet Policy Review, 12, 1, (2023); Creators in the creator economy: A global study. San Jose, CA: Adobe, (2022); Arriagada A., Ibanez F., “You need at least one picture daily, if not, you're dead”: Content creators and platform evolution in the social media ecology, Social Media+ Society, 6, 3, (2020); Boyd D.M., Ellison N.B., Social network sites: Definition, history, and scholarship, Journal of Computer-Mediated Communication, 13, 1, pp. 210-230, (2007); Browning K., A ‘potentially disastrous’ data breach hits Twitch, the livestreaming site, New York Times, (2021); Casadesus-Masanell R., White A., Elterman K., SteemIt: A new social media? [HBS Case 9-720-428], (2019); Ciriello R.F., Beck R., Thatcher J.B., The paradoxical effects of blockchain technology on social networking practices,  International Conference on Information Systems, (2018); Claussen J., Kretschmer T., Mayrhofer P., The effects of rewarding user engagement: The case of Facebook apps, Information Systems Research, 24, 1, pp. 186-200, (2013); Criddle C., Instagram cuts influencer payments for short videos, (2022); De Cremer D., Bianzino N.M., Falk B., How generative AI could disrupt creative work, Harvard Business Review, (2023); Delkhosh F., Gopal R.D., Patterson R.A., Yaraghi N., Impact of bot involvement in an incentivized blockchain-based online social media platform, Journal of Management Information Systems, 40, 3, pp. 778-806, (2023); Dhawan S., Hegelich S., Sindermann C., Montag C., Re-start social media, but how?, Telematics and Informatics Reports, 8, (2022); Duffy B.E., Meisner C., Platform governance at the margins: Social media creators’ experiences with algorithmic (in) visibility, Media, Culture & Society, 45, 2, pp. 285-304, (2023); Freni P., Ferro E., Ceci G., Fixing social media with the blockchain,  EAI International Conference on Smart Objects and Technologies for Social Good, pp. 175-180, (2020); Frizzo-Barker J., Chow-White P.A., Adams P.R., Mentanko J., Ha D., Green S., Blockchain as a disruptive technology for business: A systematic review, International Journal of Information Management, 51, (2020); Gehl R.W., The case for alternative social media, Social Media + Society, 1, 2, (2015); Guidi B., When blockchain meets online social networks, Pervasive and Mobile Computing, 62, (2020); Guidi B., Kapanova K.G., Koidl K., Michienzi A., Ricci L., The contextual ego network P2P overlay for the next generation social networks, Mobile Networks and Applications, 25, 3, pp. 1062-1074, (2020); Guidi B., Michienzi A., Ricci L., Steem blockchain: Mining the inner structure of the graph, IEEE Access, 8, pp. 210251-210266, (2020); Haimson O.L., Delmonaco D., Nie P., Wegner A., Disproportionate removals and differing content moderation experiences for conservative, transgender, and black social media users: Marginalization and moderation gray areas, Proceedings of the ACM on Human-Computer Interaction. 5(CSCW2), (2021); Heeks R., Information technology, information systems, and public sector accountability, Information technology in context, pp. 201-219, (2017); Hope A., Phishing campaign targets YouTube creators with cookie stealing malware to hijack accounts and stream cryptocurrency scams, CPO Magazine, (2021); Iansiti M., Lakhani K.R., The truth about blockchain, Harvard Business Review, (2017); Jin L., The creator economy needs a middle class, Harvard Business Review, (2020); Kaplan A.M., Haenlein M., Users of the world, unite! The challenges and opportunities of Social Media, Business Horizons, 53, 1, pp. 59-68, (2010); Kingsley S., Sinha P., Wang C., Eslami M., Hong J.I., “Give everybody [.] a little bit more equity”: Content creator perspectives and responses to the algorithmic demonetization of content associated with disadvantaged groups, Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2), (2022); Koidl K., Kapanova K.G., Introduction to the special issue: Re-Imagining a more trustworthy social media future, Social Media + Society, 6, 2, (2020); Kopf S., “Rewarding good creators”: Corporate social media discourse on monetization schemes for content creators, Social Media + Society, 6, 4, (2020); Lee M., Twitch streamer nate hill swatted while streaming fortnite, GameRant, (2021); Loebbecke C., Picot A., Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda, The Journal of Strategic Information Systems, 24, 3, pp. 149-157, (2015); Malik A., YouTube relaxes controversial profanity and monetization rules following creator backlash, TechCrunch, (2023); McMullan K., A checklist for managers to enhance influencer partnerships and avoid potential pitfalls, Business Horizons, 66, 4, pp. 443-452, (2023); Mousavi S., Roper S., Enhancing relationships through online brand communities: Comparing posters and lurkers, International Journal of Electronic Commerce, 27, 1, pp. 66-99, (2023); Murray A., Kim D., Combs J., The promise of a decentralized internet: What is Web3 and how can firms prepare?, Business Horizons, 66, 2, pp. 191-202, (2023); Nofer M., Gomber P., Hinz O., Schiereck D., Blockchain, Business and Information Systems Engineering, 59, 3, pp. 183-187, (2017); Ottman B., Harding M., Ottman J., Ottman J., Minds: The crypto social network [White Paper], (2018); Park A., Wilson M., Robson K., Demetis D., Kietzmann J., Interoperability: Our exciting and terrifying Web3 future, Business Horizons, 66, 4, pp. 529-541, (2023); Creating content in the gig economy: A risky business, (2023); Rieder B., Borra E., Coromina O., Matamoros-Fernandez A., Making a living in the creator economy: A large-scale study of linking on YouTube, Social Media + Society, 9, 2, (2023); Rossi M., Mueller-Bloch C., Thatcher J.B., Beck R., Blockchain research in information systems: Current trends and an inclusive future research agenda, Journal of the Association for Information Systems, 20, 9, pp. 1390-1405, (2019); Stamper R., Liu K., Hafkamp M., Ades Y., Understanding the roles of signs and norms in organizations—A semiotic approach to information systems design, Behaviour & Information Technology, 19, 1, pp. 15-27, (2000); Tafesse W., Dayan M., Content creators’ participation in the creator economy: Examining the effect of creators’ content sharing frequency on user engagement behavior on digital platforms, Journal of Retailing and Consumer Services, 73, (2023); Tang Y., Xiong J., Becerril-Arreola R., Iyer L., Ethics of blockchain, Information Technology and People, 33, 2, pp. 602-632, (2020); Tarr D., Lavoie E., Meyer A., Tschudin C., Secure scuttlebutt: An identity-centric protocol for subjective and decentralized applications,  ACM Conference on Information-Centric Networking, (2019); The 2022 content entrepreneur benchmark research, (2022); The 2023 content entrepreneur benchmark research, (2023); Thelwall M., Can social news websites pay for content and curation? The SteemIt cryptocurrency model, Journal of Information Science, 44, 6, pp. 736-751, (2018); Thomas K., Kelley P.G., Consolvo S., Samermit P., Bursztein E., “It's common and a part of being a content creator”: Understanding how creators experience and cope with hate and harassment online, Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, (2022); Zhan Y., Xiong Y., Xing X., A conceptual model and case study of blockchain-enabled social media platform, Technovation, 119, (2023); Zhang R., Xue R., Liu L., Security and privacy on blockchain, ACM Computing Surveys, 52, 3, (2019); Zignani M., Quadri C., Gaito S., Cherifi H., Rossi G.P., The footprints of a “mastodon”: How a decentralized architecture influences online social relationships, Proceedings of the IEEE Infocom Conference on Computer Communications Workshops, pp. 472-477, (2019); Zulli D., Liu M., Gehl R., Rethinking the “social” in “social media”: Insights into topology, abstraction, and scale on the Mastodon social network, New Media & Society, 22, 7, pp. 1188-1205, (2020)","H. Khobzi; University of Sussex Business School, University of Sussex, Brighton, BN1 9SL, United Kingdom; email: h.khobzi@sussex.ac.uk","","Elsevier Ltd","","","","","","00076813","","BHORA","","English","Bus. Horiz.","Article","Article in press","All Open Access; Green Open Access; Hybrid Gold Open Access","Scopus","2-s2.0-85207191828"
"Meyer T.; Vetulani-Cęgiel A.","Meyer, Trisha (36521190000); Vetulani-Cęgiel, Agnieszka (57219096222)","36521190000; 57219096222","Transparency as an empty signifier? Assessing transparency in EU and platform initiatives on online political advertising and actors","2024","Policy and Internet","","","","","","","0","10.1002/poi3.417","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203291829&doi=10.1002%2fpoi3.417&partnerID=40&md5=ca9420d3d3a5ec98b0bde8217ebea5c8","Vrije Universiteit Brussel, Brussels, Belgium; United Nations University-CRIS, Brugge, Belgium; Adam Mickiewicz University, Poznań, Poland","Meyer T., Vrije Universiteit Brussel, Brussels, Belgium, United Nations University-CRIS, Brugge, Belgium; Vetulani-Cęgiel A., Adam Mickiewicz University, Poznań, Poland","This paper investigates how the European Union (EU) and online platforms operationalise ‘political advertising’ and ‘transparency’ in a context of ongoing political and policy debates on regulating online platforms. We compare ongoing EU policy initiatives (revised Code of Practice on Disinformation and Regulation on the Transparency and Targeting of Political Advertising) against platform policies and practices (Google, Mastodon, Meta, Microsoft, Telegram, TikTok, Twitter/X) undertaken to moderate political actors and advertising. We argue that the concept of transparency is used as an ‘empty signifier’: meaningful at the political and declarative level but when translated into practice, leads to diverse results. The paper contributes to academic and policy debates on platform responsibility and political advertising transparency in light of the recent European elections and the future implementation of the Regulation on the Transparency and Targeting of Political Advertising. © 2024 The Author(s). Policy & Internet published by Wiley Periodicals LLC on behalf of Policy Studies Organization.","elections; European Union; online platforms; political advertising; transparency","","","","","","European Commission, EC, (INEA/CEF/ICT/A2020/2394296); European Commission, EC","This work was supported by the Uniwersytet im. Adama Mickiewicza w Poznaniu Inicjatywa Doskona\u0142o\u015Bci \u2013 Uczelnia Badawcza under Grant 092/12/POB5/0001; and the European Union under Grant INEA/CEF/ICT/A2020/2394296. ","Ananny M., Crawford K., Seeing without knowing: limitations of the transparency ideal and its application to algorithmic accountability, New Media & Society, 20, 3, pp. 973-989, (2018); Anastasiadis S., Moon J., Humphreys M., Lobbying and the responsible firm: agenda-setting for a freshly conceptualized field, Business Ethics: A European Review, 27, 3, pp. 207-221, (2018); Bauer T., Responsible lobbying. Conceptual foundations and empirical findings in the EU, (2017); Bouwen P., Corporate lobbying in the European Union: the logic of access, Journal of European Public Policy, 9, 3, pp. 365-390, (2002); Bradshaw S., Baily H., Howard P.N., Industrialized disinformation. 2020 Global inventory of organized social media manipulation, (2021); Brousseau E., Marzouki M., Meadel C., Governance, regulations and powers on the Internet, (2012); Brown D.L., Vetterlein A., Roemer-Mahler A., Theorizing transnational corporations as social actors: an analysis of corporate motivations, Business and Politics, 12, 1, pp. 1-37, (2010); Bucher T., If…then: Algorithmic power and politics, (2018); Chalmers A.W., Getting a seat at the table: capital, capture and expert groups in the European Union, West European Politics, 37, 5, pp. 976-992, (2014); Cipers S., Meyer T., ‘Free speech is not free reach’. 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Toward a noncontradiction of corporate political activities and corporate social responsibility, Journal of Management Inquiry, 25, 4, pp. 415-430, (2016); Marsden C., Meyer T., Brown I., Platform values and democratic elections: How can the law regulate digital disinformation, Computer Law & Security Review, 36, (2020); Strengthened Code of Practice on Disinformation, (2022); Persily N., Tucker J.A., Social media and democracy: The state of the field, prospects for reform, (2020); Rasmussen M.K., The battle for influence: the politics of business lobbying in the european parliament, JCMS: Journal of Common Market Studies, 53, 2, pp. 365-382, (2015); Richter H., Straub M., Tuchtfeld E., (2021); Schmidt V.A., Democracy and legitimacy in the European union revisited: input, output and ‘throughput, Political Studies, 61, 1, pp. 2-22, (2013); Suzor N.P., Myers West S., Quodling A., York J., What do we mean when we talk about transparency? Toward meaningful transparency in commercial content moderation, International Journal of Communication, 13, 2019, pp. 1526-1543, (2019); Vermeulen M., Online content: To regulate or not to regulate. Is that the question? APC Issue Paper, (2019); Vermeulen M., The keys to the kingdom, Knight First Amendment institute at Columbia University, (2021); Vetterlein A., Responsibility is more than accountability: from regulatory towards negotiated governance, Contemporary Politics, 24, 5, pp. 545-567, (2018); Yu P.K., Beyond transparency and accountability: three additional features algorithm designers should build into intelligent platforms, Northeastern University Law Review, 13, 1, pp. 263-296, (2021)","T. Meyer; Vrije Universiteit Brussel, Brussels, Pleinlaan 2, 1050, Belgium; email: trisha.meyer@vub.be","","John Wiley and Sons Inc","","","","","","19442866","","","","English","Policy Internet","Article","Article in press","All Open Access; Hybrid Gold Open Access","Scopus","2-s2.0-85203291829"
"Balduf L.; Sokoto S.; Ascigil O.; Tyson G.; Scheuermann B.; Korczyński M.; Castro I.; Król M.","Balduf, Leonhard (57223764943); Sokoto, Saidu (57904768700); Ascigil, Onur (25926838500); Tyson, Gareth (25960456600); Scheuermann, Björn (17435627400); Korczyński, MacIej (57190274074); Castro, Ignacio (54891848000); Król, MichaÅ€ (59479577200)","57223764943; 57904768700; 25926838500; 25960456600; 17435627400; 57190274074; 54891848000; 59479577200","Looking AT the Blue Skies of Bluesky","2024","Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC","","","","76","91","15","0","10.1145/3646547.3688407","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212474575&doi=10.1145%2f3646547.3688407&partnerID=40&md5=2201cf28b7124cee56a0ba35104c639e","Technical University of Darmstadt, Darmstadt, Germany; City, University of London, London, United Kingdom; Lancaster University, Lancaster, United Kingdom; Hong Kong University of Science and Technology (GZ), Guangzhou, China; University of Grenoble Alps, Grenoble Informatics Laboratory, Grenoble, France; Queen Mary University of London, London, United Kingdom","Balduf L., Technical University of Darmstadt, Darmstadt, Germany; Sokoto S., City, University of London, London, United Kingdom; Ascigil O., Lancaster University, Lancaster, United Kingdom; Tyson G., Hong Kong University of Science and Technology (GZ), Guangzhou, China; Scheuermann B., Technical University of Darmstadt, Darmstadt, Germany; Korczyński M., University of Grenoble Alps, Grenoble Informatics Laboratory, Grenoble, France; Castro I., Queen Mary University of London, London, United Kingdom; Król M., City, University of London, London, United Kingdom","The pitfalls of centralized social networks, such as Facebook and Twitter/X, have led to concerns about control, transparency, and accountability. Decentralized social networks have emerged as a result with the goal of empowering users. These decentralized approaches come with their own trade-offs, and therefore multiple architectures exist. In this paper, we conduct the first large-scale analysis of Bluesky, a prominent decentralized microblogging platform. In contrast to alternative approaches (e.g. Mastodon), Bluesky decomposes and opens the key functions of the platform into subcomponents that can be provided by third party stakeholders. We collect a comprehensive dataset covering all the key elements of Bluesky, study user activity and assess the diversity of providers for each sub-components. © 2024 Owner/Author.","bluesky; decentralized social networks; social network analysis","Bluesky; Centralised; Decentralised; Decentralized approach; Decentralized social network; Facebook; Large-scale analysis; Micro-blogging platforms; Social Network Analysis; Trade off; Tweets","","","","","MAKI; Deutsche Forschungsgemeinschaft, DFG, (SFB 1053); Deutsche Forschungsgemeinschaft, DFG","The authors would like to thank the anonymous referees for their valuable comments and helpful suggestions. This work was supported by the German Research Foundation (DFG) within the Collaborative Research Center (CRC) SFB 1053: MAKI (https://gepris. dfg.de/gepris/projekt/210487104).","ActivityPub Specification, (2024); Ads Revenue Sharing, (2024); Mastodon Statistics, (2024); NOSTR: A decentralized social network with a chance of working, (2024); Perguntas Frequentes do Usuário Bluesky (Português), (2024); X (Twitter) Statistics: How Many People Use X?, (2024); Balduf L., Korczynski M., Ascigil O., Keizer N.V., Pavlou G., Scheuermann B., Krol M., The cloud strikes back: Investigating the decentralization of ipfs, Proceedings of the 2023 ACM on Internet Measurement Conference., pp. 391-405, (2023); Bayer J., Nosyk Y., Hureau O., Fernandez S., Paulovics S., Duda A., Korczynski M., Study on Domain Name System (DNS) abuse - Technical report, (2022); Zia H.B., He J., Castro I., Tyson G., Fediverse migrations: A study of user account portability on the mastodon social network, Proc. of ACM Internet Measurement Conference (IMC)., (2024); Zia H.B., Raman A., Castro I., Anaobi I.H., De Cristofaro E., Sastry N., Tyson G., Toxicity in the decentralized web and the potential for model sharing, Proceedings of the ACM on Measurement and Analysis of Computing Systems, 6, 2, pp. 1-25, (2022); La Cava L., Greco S., Tagarelli A., Understanding the growth of the Fediverse through the lens of Mastodon, Applied Network Science, 6, pp. 1-35, (2021); La Cava L., Greco S., Tagarelli A., Information consumption and boundary spanning in decentralized online social networks: The case of mastodon users, Online Social Networks and Media, 30, (2022); La Cava L., Greco S., Tagarelli A., Network analysis of the information consumption-production dichotomy in mastodon user behaviors, Proceedings of the International AAAI Conference on Web and Social Media, 16, pp. 1378-1382, (2022); [n. d.]. Social media platform Bluesky attracts millions in Brazil after judge bans Musk's X, (2024); Danilak M., Et al., langdetect, (2021); Frier S., Nix N., Kopit S., Why Free Speech on the Internet Isn't Free for All, (2021); Gribneau C., Prorock M., Steele O., Terbu O., Xu M., Zagidulin D., DID WEB Method (did:web), (2023); Guidi B., Michienzi A., Ricci L., A graph-based socioeconomic analysis of steemit, IEEE Transactions on Computational Social Systems, 8, 2, pp. 365-376, (2020); Hassan A.I., Raman A., Castro I., Zia H.B., De Cristofaro E., Sastry N., Tyson G., Exploring content moderation in the decentralised web: The pleroma case, Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies., pp. 328-335, (2021); He J., Zia H.B., Castro I., Raman A., Sastry N., Tyson G., Flocking to mastodon: Tracking the great twitter migration, Proceedings of the 2023 ACM on Internet Measurement Conference., pp. 111-123, (2023); Holmgren D., Newbold B., Ivy D., Gold J., DID PLC Method (did:plc), (2023); Jaatun L.A., Ringen A., Jaatun M.G., Yet another blockchain-based privacy-friendly social network, 2022 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, pp. 222-229, (2022); Jeong U., Jiang B., Tan Z., Bernard H.R., Liu H., BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social., (2024); Jeong U., Nirmal A., Jha K., Tang S.X., Bernard H.R., Liu H., User Migration across Multiple Social Media Platforms, (2024); Kleppmann M., Frazee P., Gold J., Graber J., Holmgren D., Ivy D., Johnson J., Newbold B., Volpert J., Bluesky and the AT Protocol: Usable Decentralized Social Media., (2024); Le Pochat V., Van Goethem T., Tajalizadehkhoob S., Korczynski M., Joosen W., Tranco: A research-oriented top sites ranking hardened against manipulation, NDSS., (2019); McQuistin S., Snyder P., Perkins C., Haddadi H., Tyson G., A first look at the privacy harms of the public suffix list, Proceedings of the 2023 ACM on Internet Measurement Conference., pp. 383-390, (2023); Quelle D., Bovet A., Bluesky: Network Topology, Polarization, and Algorithmic Curation, (2024); Raman A., Joglekar S., De Cristofaro E., Sastry N., Tyson G., Challenges in the decentralised web: The mastodon case, Proceedings of the internet measurement conference., pp. 217-229, (2019); Rozenshtein A.Z., Moderating the fediverse: Content moderation on distributed social media, J. Free Speech L., 3, (2023); Satariano A., Facebook Hearing Strengthens Calls for Regulation in Europe, (2021); Sporny M., Longley D., Sabadello M., Reed D., Steele O., Allen C., Decentralized Identifiers (DIDs) v1.0, (2022); Tarr D., Lavoie E., Meyer A., Tschudin C., Secure Scuttlebutt: An Identity-Centric Protocol for Subjective and Decentralized Applications (ICN '19), pp. 1-11, (2019); Townsend L., Wallace C., The ethics of using social media data in research: A new framework, pp. 189-207, (2017); Wei Y., Trautwein D., Psaras Y., Castro I., Scott W., Raman A., Tyson G., The eternal tussle: Exploring the role of centralization in fipfsg, 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24)., pp. 441-454, (2024); Whitten A., Tygar J.D., Why johnny can't encrypt: A usability evaluation of pgp 5.0, USENIX security symposium, 348, pp. 169-184, (1999); Zuo W., Raman A., Mondragon R.J., Tyson G., Set in Stone: Analysis of an Immutable Web3 Social Media Platform (WWW '23), pp. 1865-1874, (2023)","","","Association for Computing Machinery","ACM; ACM SIGCOMM; ACM SIGMETRICS","2024 ACM Internet Measurement Conference, IMC 2024","4 November 2024 through 6 November 2024","Madrid","204673","21503761","979-840070592-2","","","English","Proc. ACM SIGCOMM Internet Meas. Conf. IMC","Conference paper","Final","","Scopus","2-s2.0-85212474575"
"Swogger S.E.","Swogger, Susan E. (55829865500)","55829865500","The Interactive Web—Leaving Twitter","2023","Journal of Electronic Resources in Medical Libraries","20","1","","28","32","4","2","10.1080/15424065.2023.2176962","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150462868&doi=10.1080%2f15424065.2023.2176962&partnerID=40&md5=21328bf8ba04140482862159bcd381a8","David W. Howe Memorial Library, University of Vermont, Burlington, NJ, United States","Swogger S.E., David W. Howe Memorial Library, University of Vermont, Burlington, NJ, United States","This column of the Interactive Web discusses the author’s experiences with Twitter as a medical librarian, reasons for leaving, and a consideration of potential alternatives or replacements. There has been a large and active community of medical librarians on Twitter for many years, linked by use of #medlibs hashtag—but recent changes to the platform may drive some to depart. There are other social media platforms with long-standing librarian communities, but the expanding open source platform Mastodon shows particular promise. © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.","#medlibs; Mastodon; social media; Twitter","article; human; librarian; mastodon; nonhuman; social media","","","","","","","Dixon S., (2022); (2023); (2023); (2023); Newman L.H., (2023); (2022); Wagner K., (2023); Vanian J., (2022); Zavarise I., (2022)","S.E. Swogger; David W. Howe Memorial Library, University of Vermont, Burlington, United States; email: sswogger@uvm.edu","","Routledge","","","","","","15424065","","","","English","J. Electron. Resour. Med. Libr.","Article","Final","","Scopus","2-s2.0-85150462868"
"Kohana M.; Sakaji H.; Kobayashi A.; Okamoto S.","Kohana, Masaki (35302983700); Sakaji, Hiroki (24339329000); Kobayashi, Akio (36782258100); Okamoto, Shusuke (8539555600)","35302983700; 24339329000; 36782258100; 8539555600","A topic trend on p2p based social media","2018","Lecture Notes on Data Engineering and Communications Technologies","7","","","1136","1143","7","0","10.1007/978-3-319-65521-5_105","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090374824&doi=10.1007%2f978-3-319-65521-5_105&partnerID=40&md5=5de49afdf5c8e048d57f0c6162048819","Ibaraki University, Ibaraki, Hitachi, Japan; The University of Tokyo, Bunkyo, Tokyo, Japan; Toyohashi University of Technology, Aichi, Toyohashi, Japan; Seikei University, Tokyo, Musashino, Japan","Kohana M., Ibaraki University, Ibaraki, Hitachi, Japan; Sakaji H., The University of Tokyo, Bunkyo, Tokyo, Japan; Kobayashi A., Toyohashi University of Technology, Aichi, Toyohashi, Japan; Okamoto S., Seikei University, Tokyo, Musashino, Japan","This paper shows a topic trend on a P2P based Social Network Service. There is a text-based Social Network Service (SNS) named Mastodon. Mastodon is a peer-to-peer and open-source SNS. Many persons and companies run Mastodon instances. We consider that there is a topic trend for each node. In this paper, we collect text messages and infer topic trend on a Mastodon instance using Latent Dirichlet Allocation(LDA). The understanding a topic trend helps to choice an instance that a user should participate. © Springer International Publishing AG 2018.","Home Timeline; Latent Dirichlet Allocation (LDA); Mastodon; Social Network Service (SNS); Topic Trend","Peer to peer networks; Statistics; Latent dirichlet allocations; Open sources; P2P-based; Peer to peer; Social media; Social network service (SNS); Social network services; Social networking (online)","","","","","","","Blei D.M., Ng A.Y., Jordan M.I., Latent dirichlet allocation, J. Mach. Learn. Res, 3, pp. 993-1011, (2003); Newman D., Noh Y., Hagedorn K., Balagopalan A., Learning topics and related passages in books, The 12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2012, pp. 195-198, (2012); Rajan N.F.N., McArdle K., Baldridge J., Extracting topics based on authors, recipients and content in microblogs, The 37th International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2014, pp. 1171-1174, (2014); Mao X.-L., He J., Yan H., Li X., Hierarchical topic integration through semi-supervised hierarchical topic modeling, The 21st ACM International Conference on Information and Knowledge Management, CIKM 2012, pp. 1612-1616, (2012); Ni X., Sun J.-T., Hu J., Chen Z., Mining multilingual topics from Wikipedia, The 18th International Conference on World Wide Web, WWW, pp. 1155-1156, (2009); Ohta H., Kobayashi A., Masuyama S., Estimation of inheritance relationship between contents on social media – Case study of Niconico as a video-sharing site, 2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA), (2014); Ikeda A., Kobayashi A., Sakaji H., Masuyama S., Classification of comments on Nico Nico Douga for annotation based on referred contents, The 18th International Conference on Network-Based Information Systems (NBiS) Workshop, pp. 669-672, (2016)","M. Kohana; Ibaraki University, Hitachi, Ibaraki, Japan; email: masaki.kohana.gopher@vc.ibaraki.ac.jp","","Springer Science and Business Media Deutschland GmbH","","","","","","23674512","","","","English","Lecture. Notes. Data Eng. Commun. Tech.","Book chapter","Final","","Scopus","2-s2.0-85090374824"
"Bin Zia H.; He J.; Castro I.; Tyson G.","Bin Zia, Haris (57204212995); He, Jiahui (58146616300); Castro, Ignacio (54891848000); Tyson, Gareth (25960456600)","57204212995; 58146616300; 54891848000; 25960456600","Fediverse Migrations: A Study of User Account Portability on the Mastodon Social Network","2024","Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC","","","","68","75","7","1","10.1145/3646547.3689027","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202640331&doi=10.1145%2f3646547.3689027&partnerID=40&md5=182586976e5515730b4d699c77873cd9","Qmul, London, United Kingdom; Hkust (GZ), Guangzhou, China","Bin Zia H., Qmul, London, United Kingdom; He J., Hkust (GZ), Guangzhou, China; Castro I., Qmul, London, United Kingdom; Tyson G., Qmul, London, United Kingdom, Hkust (GZ), Guangzhou, China","The advent of regulation, such as the Digital Markets Act, will foster greater interoperability across competing digital platforms. In such regulatory environments, decentralized platforms like Mastodon have pioneered the principles of social data portability. Such platforms are composed of thousands of independent servers, each of which hosts their own social community. To enable transparent interoperability, users can easily migrate their accounts from one server provider to another. In this paper, we examine 8,745 users who switch their server instances in Mastodon. We use this as a case study to examine account portability behavior more broadly. We explore the factors that affect users' decision to switch instances, as well as the impact of switching on their social media engagement and discussion topics. This leads us to build a classifier to show that switching is predictable, with an F1 score of 0.891. We argue that Mastodon serves as an early exemplar of a social media platform that advocates account interoperability and portability. We hope that this study can bring unique insights to a wider and open digital world in the future. © 2024 ACM.","fediverse; instance switching; interoperability; mastodon; platform migration","Economic and social effects; Data portabilities; Decentralised; Digital markets; Digital platforms; Fediverse; Instance switching; Mastodon; Platform migration; Regulatory environment; Social communities; Interoperability","","","","","Engineering and Physical Sciences Research Council, EPSRC; AP4L, (EP/W032473/1, REPHRAIN EP/V011189/1); Guangdong Provincial Key Lab of Integrated Communication, Sensing and Computation for Ubiquitous Internet of Things, (2023B1212010007); Guangzhou Municipal Key Laboratory on Future Networked Systems, (024A03J0623); Guangzhou Municipal Science and Technology Bureau, GZST, (2024A03J0684); Guangzhou Municipal Science and Technology Bureau, GZST","Thiswork is supported in part by the EPSRC grants AP4L (EP/W032473/1), DSNmod (REPHRAIN EP/V011189/1), Fediobservatory, Guangzhou Science and Technology Bureau (2024A03J0684), Guangzhou Municipal Key Laboratory on Future Networked Systems (024A03J0623), and Guangdong Provincial Key Lab of Integrated Communication, Sensing and Computation for Ubiquitous Internet of Things (2023B1212010007).","(2018); Balduf L., Sokoto S., Ascigil O., Tyson G., Scheuermann B., Korczynski M., Castro I., Krol M., Looking AT the Blue Skies of Bluesky, (2024); La Cava L., Maria Aiello L., Tagarelli A., Drivers of social influence in the Twitter migration to Mastodon, Scientific Reports, 13, 1, (2023); (2022); Fiesler C., Dym B., Moving across lands: Online platform migration in fandom communities, Proceedings of the ACM on Human-Computer Interaction, 4, CSCW1, pp. 1-25, (2020); Gerhart N., Koohikamali M., Social network migration and anonymity expectations: What anonymous social network apps offer, Computers in Human Behavior, 95, pp. 101-113, (2019); (2024); He J., Bin Zia H., Castro I., Raman A., Sastry N., Tyson G., Flocking to mastodon: Tracking the great twitter migration, Proceedings of the 2023 ACM on Internet Measurement Conference, pp. 111-123, (2023); Jeong U., Sheth P., Tahir A., Alatawi F., Russell Bernard H., Liu H., Exploring platform migration patterns between twitter and mastodon: A user behavior study, (2023); Otala J.M., Kurtic G., Grasso I., Liu Y., Matthews J., Madraki G., Political polarization and platform migration: a study of Parler and Twitter usage by United States of America Congress Members, Companion Proceedings of the Web Conference 2021, pp. 224-231, (2021); (2014); Pedregosa F., Varoquaux G., Gramfort A., Michel V., Thirion B., Grisel O., Blondel M., Prettenhofer P., Weiss R., Dubourg V., Vanderplas J., Passos A., Cournapeau D., Brucher M., Perrot M., Duchesnay E., Scikit-learn: Machine Learning in Python, Journal of Machine Learning Research, 12, pp. 2825-2830, (2011); Prokhorenkova L., Gusev G., Vorobev A., Veronika Dorogush A., Gulin A., CatBoost: unbiased boosting with categorical features, Advances in neural information processing systems, 31, (2018); Raman A., Joglekar S., De Cristofaro E., Sastry N., Tyson G., Challenges in the decentralised web: The mastodon case, Proceedings of the internet measurement conference, pp. 217-229, (2019); Reimers N., Gurevych I., Sentence-bert: Sentence embeddings using siamese bert-networks, (2019); (2024); (2024); (2024); (2024); (2024); (2024); Townsend L., Wallace C., The ethics of using social media data in research: A new framework, pp. 189-207, (2017); Zhu Y., Haq E.-U., Tyson G., Lee L.-H., Wang Y., Hui P., A Study of Partisan News Sharing in the Russian invasion of Ukraine, AAAI ICWSM, (2023); Bin Zia H., Ul Haq E., Castro I., Hui P., Tyson G., An Analysis of Twitter Discourse on theWar Between Russia and Ukraine, (2023)","","","Association for Computing Machinery","ACM; ACM SIGCOMM; ACM SIGMETRICS","2024 ACM Internet Measurement Conference, IMC 2024","4 November 2024 through 6 November 2024","Madrid","204673","21503761","979-840070592-2","","","English","Proc. ACM SIGCOMM Internet Meas. Conf. IMC","Conference paper","Final","","Scopus","2-s2.0-85202640331"
"Friedl P.; Morgan J.","Friedl, Paul (59033640100); Morgan, Julian (59034989900)","59033640100; 59034989900","Decentralised content moderation","2024","Internet Policy Review","13","2","","","","","1","10.14763/2024.2.1754","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192159389&doi=10.14763%2f2024.2.1754&partnerID=40&md5=5e379649ffdcac9ad4f83a365d3f33eb","Karlsruhe Institute of Technology, Germany; Humboldt Universität Berlin, Germany","Friedl P., Karlsruhe Institute of Technology, Germany; Morgan J., Humboldt Universität Berlin, Germany","Decentralised content moderation describes and potentially advocates for moderation infrastructures in which both the authority and the responsibility to moderate are distributed over a plurality of actors or institutions. © 2024, Alexander von Humboldt Institute for Internet and Society. All rights reserved.","Content moderation; Fediverse; Platform governance; Protocol-based infrastructure","","","","","","","","Ahooja R., Section 230 and the Fediverse: The ‘instances’ of Mastodon’s immunity and liability, (2023); Bietti E., A genealogy of digital platform regulation, Georgetown Law Technology Review, 7, 1, pp. 1-68, (2023); Blank Y., Federalism, subsidiarity, and the role of local governments in an age of global multilevel governance, Fordham Urban Law Journal, 37, 2, pp. 509-558, (2010); Bodo B., Brekke J. K., Hoepman J.-H., Decentralisation: A multidisciplinary perspective, Internet Policy Review, 10, 2, (2021); Cinelli M., De Francisci Morales G., Galeazzi A., Quattrociocchi W., Starnini M., The echo chamber effect on social media, Proceedings of the National Academy of Sciences, 118, 9, (2021); Dubois E., Blank G., The echo chamber is overstated: The moderating effect of political interest and diverse media, Information, Communication & Society, 21, 5, pp. 729-745, (2018); Eifert M., Metzger A., Schweitzer H., Wagner G., Taming the giants: The DMA/DSA package, Common Market Law Review, 58, 4, pp. 987-1028, (2021); Ermoshina K., Musiani F., Safer spaces by design? Federated architectures and alternative socio-technical models for content moderation, Annual Symposium of the Global Internet Governance Academic Network (GigaNet), (2022); Flew T., Martin F., Suzor N., Internet regulation as media policy: Rethinking the question of digital communication platform governance, Journal of Digital Media & Policy, 10, 1, pp. 33-50, (2019); Gillespie T., Custodians of the Internet: Platforms, content moderation, and the hidden decisions that shape social media, (2018); Gray C., The moderator: Inside Facebook’s dirty work in Ireland, (2022); Grimmelmann J., The virtues of moderation, Yale Journal of Law & Technology, 17, pp. 42-109, (2015); Hirschman A. O., Exit, voice, and loyalty: Responses to decline in firms, organizations, and states, (1972); Jhaver S., Birman I., Gilbert E., Bruckman A., Human-machine collaboration for content regulation: The case of Reddit automoderator, ACM Transactions on Computer-Human Interaction, 26, 5, pp. 1-35, (2019); Kadri T. E., Juridical discourse for platforms, Harvard Law Review, 136, 2, pp. 163-204, (2022); Keller D., The future of platform power: Making middleware work, Journal of Democracy, 32, 3, pp. 168-172, (2021); Klonick K., The new governors: The people, rules, and processes governing online speech, Harvard Law Review, 131, 6, pp. 1598-1670, (2018); Komaitis K., de Franssu L.-V., Can Mastodon survive Europe’s Digital Services Act? Tech Policy Press, (2022); Lucas R., Miller T., Federation and moderation: Usenet as the original decentralised social network [Video], (2023); Masnick M., Protocols, not platforms: A technological approach to free speech, Knight First Amendment Institute, 19, 5, (2019); Masnick M., Community notes is a useful tool for some things… But not as a full replacement for trust and safety, Techdirt, (2023); Mazgal A., Back to the future? The Digital Services Act and regulating online platforms built on community-led moderation, Building a European digital public space. Strategies for taking back control from big tech platforms, (2021); Newton C., How Reddit set itself up for a fall, The Verge, (2023); Peters J., How Reddit crushed the biggest protest in its history, The Verge, (2023); Philips D., Defending the boundaries: Identifying and countering threats in a Usenet newsgroup, The Information Society, 12, 1, pp. 39-62, (1996); Pierce D., Can ActivityPub save the internet?, The Verge, (2023); Moderator code of conduct; Rozenshtein A. Z., Moderating the Fediverse: Content moderation on distributed social media, Journal of Free Speech Law, 3, pp. 217-236, (2023); Sai A. R., Buckley J., Fitzgerald B., Le Gear A., Taxonomy of centralization in public blockchain systems: A systematic literature review, Information Processing & Management, 58, 4, (2021); Seering J., Reconsidering self-moderation: The role of research in supporting community-based models for online content moderation, Proceedings of the ACM on Human-Computer Interaction, 4, CSCW2, pp. 1-28, (2020); Wirtschafter V., Majumder S., Future challenges for online, crowdsourced content moderation: Evidence from Twitter’s community notes, Journal of Online Trust and Safety, 2, 1, pp. 1-11, (2023)","","","Alexander von Humboldt Institute for Internet and Society","","","","","","21976775","","","","English","Internet Policy Rev.","Article","Final","All Open Access; Gold Open Access","Scopus","2-s2.0-85192159389"
"Bin Zia H.; Raman A.; Castro I.; Hassan Anaobi I.; De Cristofaro E.; Sastry N.; Tyson G.","Bin Zia, Haris (57204212995); Raman, Aravindh (57190405201); Castro, Ignacio (54891848000); Hassan Anaobi, Ishaku (57677967500); De Cristofaro, Emiliano (17433897300); Sastry, Nishanth (25930132500); Tyson, Gareth (25960456600)","57204212995; 57190405201; 54891848000; 57677967500; 17433897300; 25930132500; 25960456600","Toxicity in the Decentralized Web and the Potential for Model Sharing","2022","Proceedings of the ACM on Measurement and Analysis of Computing Systems","6","2","3530901","","","","10","10.1145/3530901","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131686463&doi=10.1145%2f3530901&partnerID=40&md5=1a6deba47b1a6cd958ccf37b7b65e661","Queen Mary University Of London, London, United Kingdom; Telefonica Research, Barcelona, Spain; University College London, London, United Kingdom; University Of Surrey, Surrey, United Kingdom; Hong Kong University Of Science & Technology, Hong Kong, Hong Kong","Bin Zia H., Queen Mary University Of London, London, United Kingdom; Raman A., Telefonica Research, Barcelona, Spain; Castro I., Queen Mary University Of London, London, United Kingdom; Hassan Anaobi I., Queen Mary University Of London, London, United Kingdom; De Cristofaro E., University College London, London, United Kingdom; Sastry N., University Of Surrey, Surrey, United Kingdom; Tyson G., Hong Kong University Of Science & Technology, Hong Kong, Hong Kong","The ""Decentralised Web""(DW) is an evolving concept, which encompasses technologies aimed at providing greater transparency and openness on the web. The DW relies on independent servers (aka instances) that mesh together in a peer-to-peer fashion to deliver a range of services (e.g. micro-blogs, image sharing, video streaming). However, toxic content moderation in this decentralised context is challenging. This is because there is no central entity that can define toxicity, nor a large central pool of data that can be used to build universal classifiers. It is therefore unsurprising that there have been several high-profile cases of the DW being misused to coordinate and disseminate harmful material. Using a dataset of 9.9M posts from 117K users on Pleroma (a popular DW microblogging service), we quantify the presence of toxic content. We find that toxic content is prevalent and spreads rapidly between instances. We show that automating per-instance content moderation is challenging due to the lack of sufficient training data available and the effort required in labelling. We therefore propose and evaluate ModPair, a model sharing system that effectively detects toxic content, gaining an average per-instance macro-F1 score 0.89.  © 2022 ACM.","Content moderation; Decentralised web; Pleroma; Toxicity analysis","World Wide Web; Content moderation; Decentralised; Decentralized web; Image sharing; Micro-blog; Model sharing; Peer-to-peer fashion; Pleroma; Toxicity analyse; Video-streaming; Toxicity","","","","","Engineering and Physical Sciences Research Council, EPSRC, (EP/S033564/1); Horizon 2020 Framework Programme, H2020, (101016509, 830927); AP4L, (EP/W032473/1); EU Horizon, (101016509)","This work is supported by EPSRC grants SODESTREAM (EP/S033564/1), AP4L (EP/W032473/1), EPSRC REPHRAIN \u201CModeration in Decentralised Social Networks\u201D (DSNmod), and EU Horizon grant agreements No 830927 (Concordia) and No 101016509 (Charity).","ActivityPub W3C Recommendation, (2018); Decentralizedsocial Media Platform Mastodon Deals With An Infux Of Gab Users, (2019); Why Free Speech On-The Internet Isn't Free For All, (2021); Perspective API, (2022); Ahn Y.-Y., Han S., Kwak H., Moon S., Jeong H., Analysis of topological characteristics of huge online social networking services, Proceedings of the 16th international conference on World Wide Web., pp. 835-844, (2007); Almerekhi H., Jansen B.J., Kwak H., Investigating toxicity across multiple Reddit communities, users, and moderators, Companion proceedings of the web conference, 2020, pp. 294-298, (2020); Arhin K., Baldini I., Wei D., Natesan Ramamurthy K., Singh M., Ground-Truth, Whose Truth?-Examining the Challenges with Annotating Toxic Text Datasets, (2021); Badjatiya P., Gupta S., Gupta M., Varma V., Deep Learning for Hate Speech Detection in Tweets, Proceedings of the 26th International Conference on World Wide Web Companion (Perth, Australia) (WWW '17 Companion), pp. 759-760, (2017); Berger A., Della Pietra S.A., Della Pietra V.J., A maximum entropy approach to natural language processing, Computational Linguistics, 22, 1, pp. 39-71, (1996); Bernstein M., Monroy-Hernandez A., Harry D., Andre P., Panovich K., Vargas G., 4chan and/b: An Analysis of Anonymity and Ephemerality in a Large Online Community, Proceedings of the International AAAI Conference on Web and Social Media, 5, (2011); Bianchi F., Terragni S., Hovy D., Pre-Training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence, (2020); Bielenberg A., Helm L., Gentilucci A., Stefanescu D., Zhang H., The growth of diaspora-a decentralized online social network in the wild, 2012 Proceedings IEEE INFOCOM workshops. 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ACM Meas. Anal. Comput. Syst.","Article","Final","All Open Access; Green Open Access","Scopus","2-s2.0-85131686463"
"Auvolat A.","Auvolat, Alex (57188724551)","57188724551","Making federated networks more distributed","2019","Proceedings of the IEEE Symposium on Reliable Distributed Systems","","","9049542","383","384","1","1","10.1109/SRDS47363.2019.00058","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084141136&doi=10.1109%2fSRDS47363.2019.00058&partnerID=40&md5=ae6ef57b7a47ffab2a99af1be41cc190","Univ. Rennes, Inria, CNRS, IRISA, France","Auvolat A., Univ. Rennes, Inria, CNRS, IRISA, France","Federated networks such as Mastodon or Matrix have seen rising usage thanks to their ability to provide users with good privacy and independence from large service providers, while retaining the familiar model of server-backed websites or mobile apps with its advantages of speed, availability and ease of use. However such systems are fragile since each individual server of the federation is a single point of failure for its users. We argue that new secure distributed algorithms could be conceived and applied without changing the server-backed nature of the system, and that such a configuration would provide systemic resilience and better independence of end users from their service providers, without sacrificing privacy, availability, efficiency or ease of use. © 2019 IEEE.","CRDT; Distributed system; Federation of servers; Online social networks; Privacy; Zero-knowledge architecture","Ease-of-use; End users; Mobile apps; Service provider; Single point; Systems science","","","","","","","Shapiro M., Preguica N., Baquero C., Zawirski M., Conflict-free replicated data types, SSS, (2011); Taheri-Boshrooyeh S., Kupcu A., Ozkasap O., Security and privacy of distributed online social networks, ICDCS Workshops, (2015); De Salve A., Mori P., Ricci L., A survey on privacy in decentralized online social networks, Computer Science Review, (2018); Feldman A.J., Blankstein A., Freedman M.J., Felten E.W., Social networking with frientegrity: Privacy and integrity with an untrusted provider, USENIX Security, (2012); Auvolat A., Taani F., Merkle search trees: Efficient state-based CRDTs in open networks, SRDS, (2019); Van Den Hooff J., Lazar D., Zaharia M., Zeldovich N., Vuvuzela: Scalable private messaging resistant to traffic analysis, SOSP, (2015)","A. Auvolat; Univ. Rennes, Inria, CNRS, IRISA, France; email: alex.auvolat@inria.fr","","IEEE Computer Society","ENS de Lyon; et al.; Institut National des Sciences Appliquees (INSA); Red Hat; The Institute of Electrical and Electronics Engineers (IEEE); Universite Lumiere Lyon 2","38th IEEE International Symposium on Reliable Distributed Systems, SRDS 2019","1 October 2019 through 4 October 2019","Lyon","158956","10609857","0769567118; 978-172814222-7","PRDSF","","English","Proc IEEE Symp Reliab Distrib Syst","Conference paper","Final","","Scopus","2-s2.0-85084141136"
"Liao K.H.","Liao, Kai Hung (56404020200)","56404020200","Exploring user perceived beliefs, evaluations, and gratifications in ASM: applying expectancy-value approach for U&G theory on Mastodon instance Liker.social","2023","Frontiers in Communication","8","","1288614","","","","0","10.3389/fcomm.2023.1288614","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180426331&doi=10.3389%2ffcomm.2023.1288614&partnerID=40&md5=939cc9bff8a7121a0037c8137978617f","National Taipei University, Taipei, Taiwan","Liao K.H., National Taipei University, Taipei, Taiwan","This study aims to explore users' perceived beliefs of the decentralized alternative social media (ASM), selecting one of Mastodon instances, Liker. social, as the unique case of exploratory investigation. The study employs the online exploratory survey method and uses purposive sampling to identify 152 valid users actively engaged in the Liker.social. Based on the expectancy-value approach to uses and gratifications theory, the study identifies two factors within users' subjective perceived beliefs: informative decentralized benefits and descriptive centralized benefits. The study also finds that the “Writing messages” is the most important functionality evaluated by users but gets fewer level of gratifications obtained, representing that there is still room for improvement. Additionally, the study presents four types of users based on their combined perceived beliefs: (1) All-benefit Rejectors, (2) All-benefit Obtainers, (3) Former-benefit Conservatives, and (4) Newer-benefit Seekers. Users (2) and (4) stressed more value on overall functionality and obtained more gratifications than users (1) and (3), so users (2) and (4) are the same statistically, having greater evaluations of importance and gratifications obtained for Liker.social than that of users (1) and (3). It signifies that the different users held varying beliefs about the benefits brought by the decentralized ASM. It was concluded that the casual relationship is valid: users' evaluations of importance, informative decentralized benefits combined with descriptive centralized benefits eventually affect the level of users' gratifications obtained on the decentralized ASM. Therefore, further research is needed to pay greater attention to users' feedback and experiences on the decentralized ASM. Copyright © 2023 Liao.","alternative social media; ASM; evaluations; perceived beliefs; uses and gratifications","","","","","","National Taipei University of Technology, NTUT, (112I20131); National Taipei University of Technology, NTUT","The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by National Taipei University under Grant 112I20131. 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Commun, (2022); Zheng J., Lee D.K.C., “Understanding the evolution of the internet: Web1.0. to Web3.0, Web3 and Web 3,”, Handbook of Digital Currency: Bitcoin, Innovation, Financial Instruments, and Big Data, 2nd Edn, (2023); Zulli D., Liu M., Gehl R., Rethinking the “social” in “social media”: insights into topology, abstraction, and scale on the Mastodon social network, New Media Soc, 22, pp. 1188-1205, (2020)","K.H. Liao; National Taipei University, Taipei, Taiwan; email: khliao@gmail.com","","Frontiers Media SA","","","","","","2297900X","","","","English","Front. Commun.","Article","Final","All Open Access; Gold Open Access","Scopus","2-s2.0-85180426331"
"Timpka T.","Timpka, Toomas (7004996206)","7004996206","Time for Medicine and Public Health to Leave Platform X","2024","JMIR Medical Education","10","","","","","","0","10.2196/53810","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195639804&doi=10.2196%2f53810&partnerID=40&md5=83fa24ac4b8c6a753823cd391d42bb22","Department of Health Medicine and Caring Sciences, Linköping University, Linköping, Sweden; Department of Computer and Information Science, Linköping University, Linköping, Sweden; Regional Executive Office, Region Östergötland, Linköping, Sweden","Timpka T., Department of Health Medicine and Caring Sciences, Linköping University, Linköping, Sweden, Department of Computer and Information Science, Linköping University, Linköping, Sweden, Regional Executive Office, Region Östergötland, Linköping, Sweden","For more than 50 years, digital technologies have been employed for the creation and distribution of knowledge in health services. In the last decade, digital social media have been developed for applications in clinical decision support and population health monitoring. Recently, these technologies have also been used for knowledge translation, such as in the process where research findings created in academic settings are established as evidence and distributed for use in clinical practice, policy making, and health self-management. To date, it has been common for medical and public health institutions to have social media accounts for the dissemination of novel research findings and to facilitate conversations about these findings. However, recent events such as the transformation of the microblog Twitter to platform X have brought to light the need for the social media industry to exploit user data to generate revenue. In this viewpoint, it is argued that a redirection of social media use is required in the translation of knowledge to action in the fields of medicine and public health. A new kind of social internet is currently forming, known as the ""fediverse,"" which denotes an ensemble of open social media that can communicate with each other while remaining independent platforms. In several countries, government institutions, universities, and newspapers use open social media to distribute information and enable discussions. These organizations control their own channels while being able to communicate with other platforms through open standards. Examples of medical knowledge translation via such open social media platforms, where users are less exposed to disinformation than in general platforms, are also beginning to appear. The current status of the social media industry calls for a broad discussion about the use of social technologies by health institutions involving researchers and health service practitioners, academic leaders, scientific publishers, social technology providers, policy makers, and the public. This debate should not primarily take place on social media platforms but rather at universities, in scientific journals, at public seminars, and other venues, allowing for the transparent and undisturbed communication and formation of opinions. © 2024 JMIR Publications Inc.. All rights reserved.","clinical decision support; digital health; digital technology; health services research; internet; knowledge translation; medical informatics; medicine; perspective; public health; social media","","","","","","Research Council of Southeast Sweden; Vetenskapsrådet, VR, (VR 2021–05608, VR 2022-05608); Region Östergötland, (ALF–936190); Forskningsrådet i Sydöstra Sverige, FORSS, (940915)","The preparation of this viewpoint article was supported by grants from the Swedish Research Council (VR 2021\u201305608, VR 2022-05608), Region \u00D6sterg\u00F6tland (ALF\u2013936190), and the Research Council of Southeast Sweden (FORSS\u2013940915).","Timpka T., Introducing hypertext in primary health care: a study on the feasibility of decision support for practitioners, Comput Methods Programs Biomed, 29, 1, pp. 1-13, (1989); Timpka T., Proactive health computing, Artif Intell Med, 23, 1, pp. 13-24, (2001); Timpka T, Eriksson H, Gursky EA, Et al., Population-based simulations of influenza pandemics: validity and significance for public health policy, Bull World Health Organ, 87, 4, pp. 305-311, (2009); Timpka T, Eriksson H, Gursky EA, Et al., Requirements and design of the PROSPER protocol for implementation of information infrastructures supporting pandemic response: a nominal group study, PLoS One, 6, 3, (2011); Spreco A, Joud A, Eriksson O, Et al., Nowcasting (short-term forecasting) of COVID-19 hospitalizations using syndromic healthcare data, Sweden, 2020, Emerg Infect Dis, 28, 3, pp. 564-571, (2022); Fahim C, Courvoisier M, Somani N, De Matas F, Straus SE., Creation of a theoretically rooted workbook to support implementers in the practice of knowledge translation, Implement Sci Commun, 4, 1, (2023); Twitter, public health, and misinformation, Lancet Digit Health, 5, 6, (2023); Toh M, Liu J., Elon Musk says he's cut about 80% of Twitter's staff, CNN Business, (2023); O'Kane C., Twitter is officially ending its old verification process on April 1. To get a blue check mark, you'll have to pay, CBS News, (2023); Good R., Russia mulls lifting Twitter ban after Musk reinstates Kremlin account, Euronews, (2023); Malik Y., What does Twitter 'rate limit exceeded' mean for users?, Reuters, (2023); McLuhan M., Understanding Media: The Extensions of Man, (1964); Rogers EM., The extensions of men: the correspondence of Marshall McLuhan and Edward T. Hall, Mass Commun Soc, 3, 1, pp. 117-135, (2000); Swedish trends 1986-2020; Choo EK, Ranney ML, Chan TM, Et al., Twitter as a tool for communication and knowledge exchange in academic medicine: a guide for skeptics and novices, Med Teach, 37, 5, pp. 411-416, (2015); Doctorow C., The 'Enshittification' of Tiktok or how, exactly, platforms die, WIRED, (2023); Fisher M., The Chaos Machine: The Inside Story of How Social Media Rewired Our Minds and Our World, (2021); Gonzalez-Bailon S, Lazer D, Barbera P, Et al., Asymmetric ideological segregation in exposure to political news on Facebook, Science, 381, 6656, pp. 392-398, (2023); Huszar F, Ktena SI, O'Brien C, Belli L, Schlaikjer A, Hardt M., Algorithmic amplification of politics on Twitter, Proc Natl Acad Sci U S A, 119, 1, (2022); Gonzalez-Bailon S, d'Andrea V, Freelon D, De Domenico M., The advantage of the right in social media news sharing, PNAS Nexus, 1, 3, (2022); Vosoughi S, Roy D, Aral S., The spread of true and false news online, Science, 359, 6380, pp. 1146-1151, (2018); Benkler Y, Faris R, Roberts H., Network Propaganda: Manipulation, Disinformation, and Radicalization in American Politics, (2018); Bakshy E, Messing S, Adamic LA., Political science. exposure to ideologically diverse news and opinion on Facebook, Science, 348, 6239, pp. 1130-1132, (2015); Pierce D., 2023 in social media: the case for the fediverse, The Verge; Brembs B, Lenardic A, Chan L., Mastodon: a move to publicly owned scholarly knowledge, Nature, 614, 7949, (2023); Silberling A, Stringer A, Corrall C., What is Bluesky? Everything to know about the app trying to replace Twitter, TechCrunch, (2024); Pixelfed; PeerTube; Ottenheimer D., German government on Mastodon, Flying Penguin, (2022); He J, Zia HB, Castro I, Raman A, Sastry N, Tyson G., Flocking to Mastodon: tracking the great Twitter migration, 2023 ACM Internet Measurement Conference (IMC '23), (2023); Kim D, Jung W, Jiang T, Zhu Y., An exploratory study of medical journal's Twitter use: metadata, networks, and content analyses, J Med Internet Res, 25, (2023); Thamman R, Eshtehardi P, Narang A, Lundberg G, Khera A., Roles and impact of journal's social media editors, Circ Cardiovasc Qual Outcomes, 14, 11, (2021); Han J, Ziaeian B., Social media usage, impact factor, and mean Altmetric attention scores: characteristics and correlates in major cardiology journals, J Am Coll Cardiol, 73, 9, (2019); Erskine N, Hendricks S., The use of Twitter by medical journals: systematic review of the literature, J Med Internet Res, 23, 7, (2021); Fang Z, Costas R, Tian W, Wang X, Wouters P., An extensive analysis of the presence of Altmetric data for web of science publications across subject fields and research topics, Scientometrics, 124, 3, pp. 2519-2549, (2020); Fang Z, Costas R, Tian W, Wang X, Wouters P., How is science clicked on Twitter? Clickmetrics for Bitly short links to scientific publications, J Assoc Inf Sci Technol, 72, 7, pp. 918-932, (2021); Branch TA, Cote IM, David SR, Et al., Controlled experiment finds no detectable citation bump from Twitter promotion, PLoS One, 19, 3, (2024); Ingram D., Fewer people are using Elon Musk's X as the platform struggles to attract and keep users, according to analysts, NBC News, (2024); Hern A., Twitter usage in US 'fallen by a fifth' since Elon Musk's takeover, The Guardian, (2024); Costa A, da Silva Loureiro M, Ferreira ME., Scientific literacy: the conceptual framework prevailing over the first decade of the twenty-first century, Rev Colomb Educ, 1, 81, pp. 195-228, (2021); Schukow CP, Punjabi LS, Abdul-Karim FW., #PathX: #PathTwitter's transformation and a discussion on different social media platforms used by pathologists in 2024, Adv Anat Pathol, (2023); Nicholson MN, Keegan BC, Fiesler C., Mastodon rules: characterizing formal rules on popular Mastodon instances, The 26th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW '23), (2023); Saltelli A, Boulanger PM., Technoscience, policy and the new media. Nexus or vortex?, Futures, 115, (2020); Ansell C, Gash A., Collaborative governance in theory and practice, J Public Adm Res Theory, 18, 4, pp. 543-571, (2008)","T. Timpka; Department of Health Medicine and Caring Sciences, Linköping University, Linköping, Campus US, Building 511, level 14, SE58183, Sweden; email: toomas.timpka@liu.se","","JMIR Publications Inc.","","","","","","23693762","","","","English","JMIR Med. Educ.","Article","Final","All Open Access; Gold Open Access; Green Open Access","Scopus","2-s2.0-85195639804"
"Suschevskiy V.; Marchenko E.","Suschevskiy, Vsevolod (57204690361); Marchenko, Ekaterina (57204688505)","57204690361; 57204688505","Network Analysis of Players Transfers in eSports: The Case of Dota 2","2018","Communications in Computer and Information Science","858","","","468","473","5","1","10.1007/978-3-030-02843-5_38","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057134674&doi=10.1007%2f978-3-030-02843-5_38&partnerID=40&md5=aa10d3f0ed70e740ac8f7bca1b6e48c1","National Research University Higher School of Economics, Soyuza Pechatnikov 16, Saint Petersburg, Russian Federation","Suschevskiy V., National Research University Higher School of Economics, Soyuza Pechatnikov 16, Saint Petersburg, Russian Federation; Marchenko E., National Research University Higher School of Economics, Soyuza Pechatnikov 16, Saint Petersburg, Russian Federation","In this work, we analyse the structure of local and regional market of player transfers in popular eSports discipline Dota 2. Together with team performance metrics, these data provide us with an opportunity to model network of transfers between teams. In turn, the transfers show the actual structure of mobility in the industry. We collected the data on players’ transfers for the top professional teams and their transfer partners, based on transactions between two world tournaments: The International 16 to The International 17. We built a directed network of transfers and analysed centralities, assortative mixing, and link formation. The global transfer market structure is organised around continental regions. At the same time, teams with the same level of performance rarely have transfers. This can be a reliable indicator of the presence of mobility lifts, in this case, mastodons of the tournament accept in their ranks natives of the less rated teams. On the other hand, some successful players may leave the best teams to establish their own, in the same way as top managers leave the large corporations to launch startups. © Springer Nature Switzerland AG 2018.","eSports; Social network analysis; Transfer networks","Commerce; Social networking (online); Assortative mixing; Directed network; E-sports; Market structures; Professional team; Regional markets; Team performance; Transfer network; Human resource management","","","","","Russian Academic Excellence Project 5-100; Health and Safety Executive, HSE; National Research University Higher School of Economics, HSE, (17-05-0024)","Acknowledgements. The article was prepared within the framework of the Academic Fund Program at the National Research University Higher School of Economics (HSE) in 2017 2018 (grant No. 17-05-0024) and by the Russian Academic Excellence Project 5-100.","Csardi G., Nepusz T., The igraph software package for complex network research, Int. J. Complex Syst., 169, 5, pp. 1-9, (2006); Elo A.E., The Rating of Chessplayers, past and Present, (1978); Gerhards J., Mutz M., Who wins the championship? Market value and team composition as predictors of success in the top European football leagues, Eur. Soc., 19, 3, pp. 223-242, (2017); Grusky O., Managerial succession and organizational effectiveness, Am. J. Sociol., 69, 1, pp. 21-31, (1963); Heinzen E., Elo: Elo Ratings, (2017); Liu X.F., Liu Y.L., Lu X.H., Wang Q.X., Wang T.X., The anatomy of the global football player transfer network: Club functionalities versus network properties, Plos One, 11, 6, (2016); Miah A., Sport 2.0: Transforming Sports for a Digital World, (2017)","E. Marchenko; National Research University Higher School of Economics, Saint Petersburg, Soyuza Pechatnikov 16, Russian Federation; email: eyumarchenko@gmail.com","Boukhanovsky A.V.; Chugunov A.V.; Alexandrov D.A.; Kabanov Y.; Koltsova O.","Springer Verlag","","3rd International Conference on Digital Transformation and Global Society, DTGS 2018","30 May 2018 through 2 June 2018","St. Petersburg","220939","18650929","978-303002842-8","","","English","Commun. Comput. Info. Sci.","Conference paper","Final","","Scopus","2-s2.0-85057134674"
"Bin Zia H.; Raman A.; Castro I.; Hassan Anaobi I.; De Cristofaro E.; Sastry N.; Tyson G.","Bin Zia, Haris (57204212995); Raman, Aravindh (57190405201); Castro, Ignacio (54891848000); Hassan Anaobi, Ishaku (57677967500); De Cristofaro, Emiliano (17433897300); Sastry, Nishanth (25930132500); Tyson, Gareth (25960456600)","57204212995; 57190405201; 54891848000; 57677967500; 17433897300; 25930132500; 25960456600","Toxicity in the Decentralized Web and the Potential for Model Sharing","2022","SIGMETRICS/PERFORMANCE 2022 - Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems","","","","15","16","1","1","10.1145/3489048.3530968","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132155377&doi=10.1145%2f3489048.3530968&partnerID=40&md5=3822f806b1f520ec54910f04b1691f57","Queen Mary University of London, London, United Kingdom; Telefonica Research, Barcelona, Spain; University College London, London, United Kingdom; University of Surrey, Surrey, United Kingdom; Hong Kong University of Science & Technology, Hong Kong, Hong Kong","Bin Zia H., Queen Mary University of London, London, United Kingdom; Raman A., Telefonica Research, Barcelona, Spain; Castro I., Queen Mary University of London, London, United Kingdom; Hassan Anaobi I., Queen Mary University of London, London, United Kingdom; De Cristofaro E., University College London, London, United Kingdom; Sastry N., University of Surrey, Surrey, United Kingdom; Tyson G., Hong Kong University of Science & Technology, Hong Kong, Hong Kong","The ""Decentralised Web""(DW) is an evolving concept, which encompasses technologies aimed at providing greater transparency and openness on the web. The DW relies on independent servers (aka instances) that mesh together in a peer-to-peer fashion to deliver a range of services (e.g. micro-blogs, image sharing, video streaming). However, toxic content moderation in this decentralised context is challenging. This is because there is no central entity that can define toxicity, nor a large central pool of data that can be used to build universal classifiers. It is therefore unsurprising that there have been several high-profile cases of the DW being misused to coordinate and disseminate harmful material. Using a dataset of 9.9M posts from 117K users on Pleroma (a popular DW microblogging service), we quantify the presence of toxic content. We find that toxic content is prevalent and spreads rapidly between instances. We show that automating per-instance content moderation is challenging due to the lack of sufficient training data available and the effort required in labelling. We therefore propose and evaluate ModPair, a model sharing system that effectively detects toxic content, gaining an average per-instance macro-F1 score 0.89.  © 2022 Owner/Author.","content moderation; decentralised web; pleroma; toxicity analysis","Content moderation; Decentralised; Decentralized web; Image sharing; Micro-blog; Model sharing; Peer-to-peer fashion; Pleroma; Toxicity analyse; Video-streaming; Toxicity","","","","","","","Decentralized social media platform Mastodon deals with an influx of Gab users, (2019); Why free speech on-The internet isn't free for all, (2021); (2022); (2010); Hassan A.I., Aravindh R., Castro I., Zia H.B., De Cristofaro E., Sastry N., Tyson G., Exploring content moderation in the decentralised web: The pleroma case, Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies., (2021); Mastodon, (2016); (2018); (2016); Raman A., Joglekar S., De Cristofaro E., Sastry N., Tyson G., Challenges in the decentralised web: The mastodon case, Proceedings of the Internet Measurement Conference., (2019); Satariano A., Facebook Hearing Strengthens Calls for Regulation in Europe, (2021); Zannettou S., Bradlyn B., De Cristofaro E., Kwak H., Sirivianos M., Stringini G., Blackburn J., What is gab: A bastion of free speech or an alt-right echo chamber, Companion Proceedings of the The Web Conference 2018., pp. 1007-1014, (2018)","","","Association for Computing Machinery, Inc","ACM SIGMETRICS","2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS/PERFORMANCE 2022","6 June 2022 through 10 June 2022","Virtual, Online","179831","","978-145039141-2","","","English","SIGMETRICS/PERFORMANCE - Abstract Proc. ACM SIGMETRICS/IFIP Perform. Jt. Int. Conf. Meas. Model. Comput. Syst.","Conference paper","Final","All Open Access; Green Open Access","Scopus","2-s2.0-85132155377"
"Cinque T.","Cinque, Toija (55917858800)","55917858800","The darker turn of intimate machines: dark webs and (post)social media","2021","Continuum","35","5","","679","691","12","4","10.1080/10304312.2021.1983252","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117212997&doi=10.1080%2f10304312.2021.1983252&partnerID=40&md5=a7935b817da6a0e145b405bcf86b7c90","School of Communication and Creative Arts, Faculty of Arts and Education, Deakin University, Geelong, Australia","Cinque T., School of Communication and Creative Arts, Faculty of Arts and Education, Deakin University, Geelong, Australia","Newly emerging technologies for digital communication facilitate rapid data collection, storage and processing whereby subsequent interactions can be unpredictable. This creates a ‘darker turn’ in neo-communicative practices. That which is 'dark' is understood as communication that has either limited distribution, is not open to all users–closed groups by way of example–or is veiled. Dark social spaces are, however, indistinct requiring further study. This is giving rise to new work in what I call ‘dark social studies’. To further explore the nature and use of dark social spaces, a digital (auto)ethnographic study of ‘dark’ social connection was undertaken. The analysis specifically focused on Mastodon, Galaxy3 and 8Kun’s ‘.onion’ available over Tor (The Onion Router). This article concludes that for a number, virtual ‘dark’ spaces provide affirmative, intimate and vital zones of connection to others and peer collaboration. Further, the interconnected and interactive capacity of dark social spaces facilitates user expectations for dark connection while exposing simultaneously the limitations of our intimate machines. © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.","(post)social media; critical studies in data cultures; Dark social spaces; dark social studies; dark web; identity; intimacy; social-network; surveillance","","","","","","","","Cth, (2011); Barlow J.P., Is There a There in Cyberspace?, UTNE; Boccia Artieri G., Brilli S., Zurovac E., Below the Radar: Private Groups, Locked Platforms, and Ephemeral Content, Social Media+ Society, 7, 1, (2021); Braidotti R., Posthuman Knowledge, Lecture delivered at Graduate School of Design, Harvard University, (2019); Caldwell L.R., Ensuring Tech-Savvy Criminals Do Not Have Immunity from Investigation, U.S.Department of Justice. BLOGS, (2016); Cinque T., A Study in Anxiety of the Dark: What It There to Be Afraid of in Social Online Spaces?, M/C Journal, 24, 2, (2021); Clough P.T., The User Unconscious: On Affect, Media, and Measure, (2018); Coegnarts M., Kravanja P., (2014); Doctorow C., Attack Surface, (2020); Drake V., Why Pixelfed Won’t Save Us from Instagram, The Start Up, (2020); Faizan M., Khan R.A., Exploring and Analyzing the Dark Web: A New Alchemy, First Monday, (2019); Fenton N., Digital, Political, Radical, (2016); Fernandez-Carames T.M., From Pre-Quantum to Post-Quantum IoT Security: A Survey on Quantum-Resistant Cryptosystems for the Internet of Things, IEEE Internet of Things Journal, 7, 7, pp. 6457-6480, (2020); Finnegan R., Storying the Self: Personal Narratives and Identity, Consumption and Everyday Life, pp. 65-112, (1997); Fuchs C., Social Media: A Critical Introduction, (2014); Gehl R.W., Weaving the Dark Web: Legitimacy on Freenet, Tor, and I2P, (2018); Gehl R.W., McKelvey F., Bugging Out: Darknets as Parasites of Large-scale Media Objects, Media, Culture & Society, 41, 2, pp. 219-235, (2019); Ghappour A., Searching Places Unknown: Law Enforcement Jurisdiction on the Dark Web, Stan L. Rev, 69, 2017, (2017); Gillespie T., Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions that Shape Social Media, (2018); Greenberg A., Now You Can Hide Your Smart Home on the Darknet, Wired, (2016); Greenberg A., His Writing Radicalized Young Hackers. Now He Wants to Redeem Them, Wired, (2020); Heemsbergen L.J., Maddox A., Cinque T., Johns A., Gehl R.W., Dark, M/C Journal, 24, (2021); Jardine E., Lindner A.M., Owenson G., The Potential Harms of the Tor Anonymity Network Cluster Disproportionately in Free Countries, Proceedings of the National Academy of Sciences of the United States, 117, pp. 31716-31721, (2020); Kannengiesser S., Reflecting and Acting on Datafication–CryptoParties as an Example of Re-active Data Activism, Convergence, 26, 5-6, pp. 1060-1073, (2019); Kavallieros D., Myttas D., Kermitsis E., Lissaris E., Giataganas G., Darra E., Understanding the Dark Web, Dark Web Investigation. Security Informatics and Law Enforcement., (2021); Kozinets R.V., Netnography: The Essential Guide to Qualitative Social Media Research, (2020); Kroger J.L., Lutz O.H.M., Raschke P., Privacy Implications of Voice and Speech Analysis–Information Disclosure by Inference, Privacy and Identity Management. Data for Better Living: AI and Privacy. Privacy and Identity 2019, 576, (2020); Mosco V., The political economy of communication: A living tradition, In Power, Media, CultureL A Critical View from the Political Economy of Communication, edited by Luis A. Albornoz, pp. 35–57. Palgrave Macmillan: London, (2015); Mondin A., ‘Tumblr Mostly, Great Empowering Images: ‘Blogging, Reblogging and Scrolling Feminist, Queer and BDSM Desires, Journal of Gender Studies, 26, 3, pp. 282-292, (2017); Neff G., Nafus D., Self-tracking, (2016); Nissenbaum H., Patterson H., Biosensing in Context: Health Privacy in a Connected World, Quantified: Biosensing Technologies in Everyday Life, pp. 79-100, (2016); Pink S., Horst H., Postill J., Hjorth L., Lewis T., Tacchi J., Digital Ethnography: Principles and Practice, (2015); Poell T., van Dijck J., Social Media and New Protest Movements, The SAGE Handbook of Social Media, pp. 546-561, (2018); Quandt T., Dark Participation in Online Communication: The World of the Wicked Web, Media and Communication, 9, 1, (2021); Rheingold H., The Virtual Community: Homesteading on the Electronic Frontier, 32, (1993); “#statusofmind”. A 2017 Report Examining the Positive and Negative Effects of Social Media on Young People’s Health, (2021); Spinoza B., The Collected Writings of Spinoza (Vol. 1: 1985; Vol. 2: 2016), (1985); Number of IoT Devices 2015-2025, (2016); Zuboff S., The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power, (2019); Zulli D., Liu M., Gehl R., Rethinking the ‘Social’ in ‘Social Media’: Insights into Topology, Abstraction, and Scale on the Mastodon Social Network, New Media & Society, 22, 7, pp. 1188-1205, (2020)","T. Cinque; School of Communication and Creative Arts, Faculty of Arts and Education, Deakin University, Geelong, Australia; email: toija.cinque@deakin.edu.au","","Routledge","","","","","","10304312","","","","English","Continuum","Article","Final","All Open Access; Green Open Access; Hybrid Gold Open Access","Scopus","2-s2.0-85117212997"
"Gehl R.W.; Zulli D.","Gehl, Robert W. (25957999800); Zulli, Diana (57196716013)","25957999800; 57196716013","The digital covenant: non-centralized platform governance on the mastodon social network","2023","Information Communication and Society","26","16","","3277","3293","16","11","10.1080/1369118X.2022.2147400","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144186789&doi=10.1080%2f1369118X.2022.2147400&partnerID=40&md5=586687ebc4cac278f4297b2e8dfdd68c","Communication and Media Studies, York University, Toronto, Canada; Brian Lamb School of Communication, Purdue University, West Lafayette, IN, United States","Gehl R.W., Communication and Media Studies, York University, Toronto, Canada; Zulli D., Brian Lamb School of Communication, Purdue University, West Lafayette, IN, United States","The majority of scholarship on platform governance focuses on for-profit, corporate social media with highly centralized network structures. Instead, we show how non-centralized platform governance functions in the Mastodon social network. Through an analysis of survey data, Github and Discourse developer discussions, Mastodon Codes of Conduct, and participant observations, we argue Mastodon’s platform governance is an exemplar of the covenant, a key concept from federalist political theory. We contrast Mastodon’s covenantal federalism platform governance with the contractual form used by corporate social media. We also use covenantal federalist theory to explain how Mastodon’s users, administrators, and developers justify revoking or denying membership in the federation. In doing so, this study sheds new light on the innovations in platform governance that go beyond the corporate/alt-right platform dichotomy. © 2022 Informa UK Limited, trading as Taylor & Francis Group.","Alternative social media; federalist political theory; mastodon; platform governance; social media","","","","","","Brian Lamb School of Communication and The Louisiana Board of Regents","This research was funded by the Brian Lamb School of Communication and The Louisiana Board of Regents.","Atton C., Alternative media, (2002); Baker J.W., The covenantal basis for the development of Swiss political federalism: 1291–1848, Publius: The Journal of Federalism, 23, 2, pp. 19-42, (1993); Barojan D., (2017); Berman M., Chase J.S., Landweber L., Nakao A., Ott M., Raychaudhuri D., Ricci R., Seskar I., GENI: A federated testbed for innovative network experiments, Computer Networks, 61, pp. 5-23, (2014); Biesecker M., Kunzelman M., Flaccus G., Mustian J., (2021); Bond S., (2021); Burgess M., In search of the federal spirit, (2012); Caelin D., Decentralized networks vs the trolls, Fundamental challenges to clobal peace and security: The future of humanity, pp. 143-168, (2022); Carey J.W., Quirk J.J., The history of the future, Communication as culture: Essays on media and society, pp. 173-200, (1989); (2017); Dunbar-Hester C., Hacking diversity, (2019); Dwoskin E., Newmyer T., Mahtani S., (2021); Ehmke C.A., (2020); Elazar D.J., Confederation and federal liberty, Publius: The Journal of Federalism, pp. 1-14, (1982); Elazar D.J., Spinoza and the Bible, Jewish Political Studies Review, 7, 1-2, pp. 5-19, (1995); Elazar D.J., Covenant, Encyclopedia of politics and religion, pp. 217-221, (2007); (2019); Ess C., Digital media ethics, (2020); Flew T., Martin F., Suzor N., Internet regulation as media policy: Rethinking the question of digital communication platform governance, Journal of Digital Media & Policy, 10, 1, pp. 33-50, (2019); Friz A., Gehl R.W., Pinning the feminine user: Gnder scripts in Pinterest’s sign-up interface. Media, Culture & Society, 38, 5, pp. 686-703, (2016); Gehl R.W., The case for aternative scial mdia, Social Media + Society, 1, 2, (2015); Gehl R.W., Alternative Social Media, The SAGE handbook of social media, pp. 330-352, (2017); Gillespie T., Aufderheide P., Carmi E., Gerrard Y., Gorwa R., Matamoros-Fernandez A., Roberts S.T., Sinnreich A., Myers West S., Expanding the debate about content moderation: Scholarly research agendas for the coming policy debates, Internet Policy Review, 9, 4, (2020); Gorwa R., Binns R., Katzenbach C., Algorithmic content moderation: Technical and political challenges in the automation of platform governance, Big Data & Society, 7, 1, (2020); Grimmelmann J., The virtues of moderation, Yale Journal of Law and Technology, 17, 1, (2015); (2016); Hawley G., The alt-right: What everyone needs to know, (2019); Kor-Sins R., The alt-right digital migration: A heterogeneous engineering approach to social media platform branding, New Media & Society, (2021); Lutz D.S., From covenant to constitution in American political thought, Publius, 10, 4, pp. 101-133, (1980); Makuch B., (2019); (2021); Meyer C.B., A case in case study methodology, Field Methods, 13, 4, pp. 329-352, (2001); Mills C.W., The racial contract, (1999); Moots G.A., The covenant tradition of federalism: The pioneering studies of Daniel J. Elazar, The Ashgate research companion to federalism, pp. 391-412, (2009); Ostrom V., Hobbes, covenant, and constitution, Publius: The Journal of Federalism, 10, 4, pp. 83-100, (1980); Pateman C., The sexual contract, (1988); Peters C., (2021); Rankovic D.; Rankovic D.; Ray S., (2021); Robertson A., (2021); Rodriguez C., Ferron B., Shamas K., Four challenges in the field of alternative, radical and citizens’ media research, Media, Culture & Society, 36, 2, pp. 150-166, (2014); Roscam Abbing R., (2021); Scott K.A., Macrolevel consent: A defense of federalism, Publius: The Journal of Federalism, 42, 4, pp. 592-612, (2012); (2020); Wilson J., (2021); Young I.M., Hybrid democracy: Iroquois federalism and the postcolonial project, Political theory and the rights of indigenous peoples, pp. 237-258, (2000); Zuckerberg M., (2021); Zuckerman E., Rajendra-Nicolucci C., (2021); Zulli D., Liu M., Gehl R.W., Rethinking the “social” in “social media”: Insights into topology, abstraction, and scale on the Mastodon social network, New Media & Society, (2020)","R.W. Gehl; Toronto, 416 736-5057, 2015 Victor Phillip Dahdaleh Building, 4700 Keele St., M3J 1P3, Canada; email: rwg@yorku.ca","","Routledge","","","","","","1369118X","","","","English","Inf. Commun. Soc.","Article","Final","All Open Access; Hybrid Gold Open Access","Scopus","2-s2.0-85144186789"
"Brembs B.; Lenardic A.; Murray-Rust P.; Chan L.; Irawan D.E.","Brembs, Björn (6603577527); Lenardic, Adrian (6701357782); Murray-Rust, Peter (58520143600); Chan, Leslie (7403540468); Irawan, Dasapta Erwin (34771445600)","6603577527; 6701357782; 58520143600; 7403540468; 34771445600","Mastodon over Mammon: towards publicly owned scholarly knowledge","2023","Royal Society Open Science","10","7","230207","","","","8","10.1098/rsos.230207","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166441673&doi=10.1098%2frsos.230207&partnerID=40&md5=d77a061d616c12edeaa2257af029e047","Institut für Zoologie - Neurogenetik, University of Regensburg, Regensburg, 93040, Germany; Wiess School of Natural Sciences Ringgold Standard Institution - Earth Science, Rice University, Houston, 77005, TX, United States; Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, United Kingdom; Global Development, University of Toronto, Scarborough, Toronto, M1C 1A4, ON, Canada; Department of Earth Science, Institut Teknologi Bandung, Bandung, 40132, Indonesia","Brembs B., Institut für Zoologie - Neurogenetik, University of Regensburg, Regensburg, 93040, Germany; Lenardic A., Wiess School of Natural Sciences Ringgold Standard Institution - Earth Science, Rice University, Houston, 77005, TX, United States; Murray-Rust P., Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, United Kingdom; Chan L., Global Development, University of Toronto, Scarborough, Toronto, M1C 1A4, ON, Canada; Irawan D.E., Department of Earth Science, Institut Teknologi Bandung, Bandung, 40132, Indonesia","Twitter is in turmoil and the scholarly community on the platform is once again starting to migrate. As with the early internet, scholarly organizations are at the forefront of developing and implementing a decentralized alternative to Twitter, Mastodon. Both historically and conceptually, this is not a new situation for the scholarly community. Historically, scholars were forced to leave social media platform FriendFeed after it was bought by Facebook in 2006. Conceptually, the problems associated with public scholarly discourse subjected to the whims of corporate owners are not unlike those of scholarly journals owned by monopolistic corporations: in both cases the perils associated with a public good in private hands are palpable. For both short form (Twitter/Mastodon) and longer form (journals) scholarly discourse, decentralized solutions exist, some of which are already enjoying some institutional support. Here we argue that scholarly organizations, in particular learned societies, are now facing a golden opportunity to rethink their hesitations towards such alternatives and support the migration of the scholarly community from Twitter to Mastodon by hosting Mastodon instances. Demonstrating that the scholarly community is capable of creating a truly public square for scholarly discourse, impervious to private takeover, might renew confidence and inspire the community to focus on analogous solutions for the remaining scholarly record - encompassing text, data and code - to safeguard all publicly owned scholarly knowledge.  © 2023 The Authors.","Fediverse; knowledge; Mammon; Mastodon; scholarly; Twitter","","","","","","","","(2008); Holloway J., (2018); Stokel-Walker C., Twitter changed science - what happens now it's in turmoil?, Nature, 613, pp. 19-21, (2023); Kupferschmidt K., As Musk reshapes Twitter, academics ponder taking flight, Science, 378, pp. 583-584, (2022); Zulli D., Liu M., Gehl R., Rethinking the 'social' in 'social media': insights into topology, abstraction, and scale on the Mastodon social network, New Media Soc., 22, pp. 1188-1205, (2020); Brembs B., Et al., Replacing academic journals, R. Soc. Open Sci., 10, (2023); Heller L., (2023); (2023); Traag V., Dudek J., Dagiene E., Van Eck N.J., Costas R., (2022); Webster P., (2022); Dobusch L., (2023); (2023); (2003); Saunders J.L., (2022); Capadisli S., (2019); Sprat T., The history of the Royal Society of London, for the improving of natural knowledge, (1667); Sondervan J., Pooley J., (2020); Garcia A.B., Closing keynote: academy-owned non-profit open access publishing: an approach to achieve participatory and sustainable scholarly communications, (2021); Irawan D.E., Abraham J., Zein R.A., Ridlo I.A., Aribowo E.K., Open access in Indonesia, Dev. Change, 52, pp. 651-660, (2021); Marshall E., Varmus defends E-biomed proposal, prepares to push ahead, Science, 284, pp. 2062-2063, (1999); Kling R., Spector L.B., Fortuna J., The real stakes of virtual publishing: the transformation of E-Biomed into PubMed central, J. Am. Soc. Inf. Sci. Technol., 55, pp. 127-148, (2004); Barrett J.G., (2005); Deangelis T., (2004); (2008); (2012); Harnad S., (2005); (2019); Parikh S., Malcom S.M., Moran B., Public access is not equal access, Science, 377, (2022); Saltelli A., Dankel D.J., Di Fiore M., Holland N., Pigeon M., Science, the endless frontier of regulatory capture, Futures, 135, (2022); Bero L., Ten tips for spotting industry involvement in science policy, Tob. Control., 28, pp. 1-2, (2019); Chen G., Posada A., Chan L., (2019); Staller K.M., Beware the kudzu: corporate creep, university consumers, and epistemic injustice, Qual. Soc. Work, 21, pp. 643-659, (2022); Butler L.A., Matthias L., Simard M.A., Mongeon P., Haustein S., The oligopoly's shift to open access publishing, (2022); Mirowski P., The future(s) of open science, Soc. Stud. Sci., 48, pp. 171-203, (2018); Fyfe A., Moxham N., McDougall-Waters J., Rostvik C.M., A history of scientific journals, (2022); Baldwin M., Scientific autonomy, public accountability, and the rise of 'peer review' in the cold war United States, Isis, 109, pp. 538-558, (2018); Okune A., Chan L., Keim W., Et al., Digital object identifier: privatising knowledge circulation through infrastructuring, Routledge handbook of academic knowledge circulation, pp. 278-287, (2023); Smith J.W.T., The deconstructed journal - a new model for academic publishing, Learn. Publ., 12, pp. 79-91, (1999); Stern B.M., O'Shea E.K., A proposal for the future of scientific publishing in the life sciences, PLoS Biol., 17, (2019); Moore S.A., Revisiting 'the 1990s debutante': scholar-led publishing and the prehistory of the open access movement, J. Assoc. Inf. Sci. Technol., 71, pp. 856-866, (2020); Bosch J., (2019); Smajda J., (2010); Casarotto P.C., (2018); Polka J., (2016); (2021); Brembs B., Reliable novelty: new should not trump true, PLoS Biol., 17, (2019); Shearer K.; Fecher B., Friesike S., Peters I., Wagner G., (2017); (2004); Bilder G., Lin J., Neylon C., (2020); Zubak-Skees C., (2023); (2023)","B. Brembs; Institut für Zoologie - Neurogenetik, University of Regensburg, Regensburg, 93040, Germany; email: bjoern@brembs.net","","Royal Society Publishing","","","","","","20545703","","","","English","R. Soc. Open Sci.","Article","Final","All Open Access; Gold Open Access; Green Open Access","Scopus","2-s2.0-85166441673"
"MacSween A.; Flory Y.","MacSween, Aaron (57204690684); Flory, Yann (57204692330)","57204690684; 57204692330","Behind the Façade: Paradigms in Ubiquitous Cryptography","2019","Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","11594 LNCS","","","294","313","19","0","10.1007/978-3-030-22351-9_20","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069872509&doi=10.1007%2f978-3-030-22351-9_20&partnerID=40&md5=c54018ee044b98aa931eca8142310eba","XWiki SAS, Paris, France","MacSween A., XWiki SAS, Paris, France; Flory Y., XWiki SAS, Paris, France","Despite continued maturation since the latter half of the last century, cryptography still bears the vestigial traces of its roots as an arcane art. Cryptographers have abandoned any fondness for obfuscation and turned to the irrevocable properties of mathematics and prime numbers to ensure the privacy of those who would wield their tools. Notwithstanding its apparent modernity, the majority of recent cryptosystems have not enjoyed widespread adoption. Usage is limited primarily to the sophisticated elite who possess the time, interest, and inclination required to understand the behaviour of these systems, if not necessarily their inner workings. While we may find more apt metaphors for conveying the complex properties of ciphers and cryptosystems, the effort behind such ad-hoc approaches will always have to be adapted to suit new algorithms, and will have to contend with their ostensibly simpler plaintext counterparts. mastodon accountt new primitives can continue to be described in terms of progressively more elabortate boxes, locks, and keys, it is difficult to imagine an explanation sufficiently compelling to extend to all those who do not enjoy the luxury of privacy. Modern cryptographers have embraced Kerckhoffs’s principle, that: A cryptosystem should be secure even if everything about the system, except the key, is public knowledge We will argue that this is insufficient, and that a second principle is necessary: A cryptosystem should be secure even if nothing about the system, except the plaintext system it replaces, is familiar to its operator In simpler language, assuming they seek a future in which everyone is able to control the spread of their personal information, those in the field of cryptographic development must create systems which are difficult to misuse. We will present CryptPad, an open-source, browser-based suite of collaborative editors which employs end-to-end-encryption to protect the contents of user documents from passive surveillance, including that of the server operators. It implements familiar façades (login and registration forms, document curation facilities, access control policy definition, and a variety of applications) using a small set of common cryptographic primitives. While the underlying mechanisms of the system are not especially sophisticated, their properties are sufficient to facilitate schemes matching existing user expectations as set by established plaintext platforms. Though we will refer to established systems as the initial results of this design philosophy throughout, our goal is to describe in concrete terms the methodology which continues to shape their development. We will outline the benefits of this paradigm of system design, describe the aspects of various cryptographic algorithms which challenge users and developers alike, and recount the results of our iterative user acceptance testing. We will demonstrate the value of serving an audience which is uninterested in the technical details of the platforms they use, exploring not just the abstract notion of the network effect, but detailing the types of social networks through which we have observed the adoption of the platform. By reframing issues of deployment in this manner, we hope to contribute towards the wider accessibility of cryptographic research beyond the purview of its core constituents. In order to move towards our envisioned future of ubiquitous cryptography, we must dissociate the means of securing information from the experience of doing so. © 2019, Springer Nature Switzerland AG.","Cybersecurity, privacy and trust in computing areas: Web technologies; Human factors: communication of security risks to end-users; Human factors: user acceptance of security and privacy technologies; Human factors: user awareness of privacy threats, legal, ethical, economic and societal issues in cybersecurity: Privacy by design & default","Acceptance tests; Access control; Computer privacy; Human computer interaction; Human engineering; Iterative methods; Access control policies; Cryptographic algorithms; Cryptographic primitives; Privacy and trusts; Privacy threats; Security risks; User acceptance; User acceptance testing; Cryptography","","","","","","","Association for Computing Machinery, (2018); (2019); (2019); (2019); Cryptpad Issue 270, (2019); (2019); (2019); Cryptpad’s Source, (2019); (2019); Elastic Search, (2019); (2019); (2019); (2019); (2019); (2019); Wikipedia Facade Definition, (2019)","A. MacSween; XWiki SAS, Paris, France; email: research@xwiki.com","Moallem A.","Springer Verlag","","1st International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019","26 July 2019 through 31 July 2019","Orlando","228679","03029743","978-303022350-2","","","English","Lect. Notes Comput. Sci.","Conference paper","Final","","Scopus","2-s2.0-85069872509"
"Kevin Feng K.J.; Koo X.; Tan L.; Bruckman A.; McDonald D.W.; Zhang A.X.","Kevin Feng, K.J. (57766978500); Koo, Xander (57224001948); Tan, Lawrence (58853492100); Bruckman, Amy (6602815446); McDonald, David W. (35578257300); Zhang, Amy X. (55892530500)","57766978500; 57224001948; 58853492100; 6602815446; 35578257300; 55892530500","Mapping the Design Space of Teachable Social Media Feed Experiences","2024","Conference on Human Factors in Computing Systems - Proceedings","","","733","","","","1","10.1145/3613904.3642120","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185611627&doi=10.1145%2f3613904.3642120&partnerID=40&md5=ac039dd98cff64042a19a8cba1368ba6","University of Washington, Seattle, United States; Georgia Institute of Technology, Atlanta, United States","Kevin Feng K.J., University of Washington, Seattle, United States; Koo X., Georgia Institute of Technology, Atlanta, United States; Tan L., University of Washington, Seattle, United States; Bruckman A., Georgia Institute of Technology, Atlanta, United States; McDonald D.W., University of Washington, Seattle, United States; Zhang A.X., University of Washington, Seattle, United States","Social media feeds are deeply personal spaces that reflect individual values and preferences. However, top-down, platform-wide content algorithms can reduce users' sense of agency and fail to account for nuanced experiences and values. Drawing on the paradigm of interactive machine teaching (IMT), an interaction framework for non-expert algorithmic adaptation, we map out a design space for teachable social media feed experiences to empower agential, personalized feed curation. To do so, we conducted a think-aloud study (N = 24) featuring four social media platforms-Instagram, Mastodon, TikTok, and Twitter-to understand key signals users leveraged to determine the value of a post in their feed. We synthesized users' signals into taxonomies that, when combined with user interviews, inform five design principles that extend IMT into the social media setting. We finally embodied our principles into three feed designs that we present as sensitizing concepts for teachable feed experiences moving forward. © 2024 Copyright held by the owner/author(s)","feed curation; interactive machine teaching; social media","Educational technology; Interactive devices; Algorithmics; Curation; Design spaces; Feed curation; Interaction framework; Interactive machine teaching; Personal spaces; Sense of agencies; Social media; Topdown; Social networking (online)","","","","","","","Arnorsson S., Abeillon F., Al-Hazwani I., Bernard J., Hauptmann H., El-Assady M., Why am I reading this?, Explaining Personalized News Recommender Systems, (2023); Asimovic N., Nagler J., Bonneau R., Tucker J.A., Testing the effects of Facebook usage in an ethnically polarized setting, Proceedings of the National Academy of Sciences, 118, 25, (2021); Auxier B.E., Vitak J., Factors motivating customization and echo chamber creation within digital news environments, Social media+ society, 5, 2, (2019); Barbosa N.M., Wang G., Ur B., Wang Y., Who Am I? A Design Probe Exploring Real-Time Transparency about Online and Offline User Profiling Underlying Targeted Ads, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 5, 3, pp. 1-32, (2021); Bartley N., Abeliuk A., Ferrara E., Lerman K., Auditing Algorithmic Bias on Twitter, 13th ACM Web Science Conference 2021 (Virtual Event, United Kingdom) (WebSci'21), pp. 65-73, (2021); Baughan A., Zhang M.R., Rao R., Lukoff K., Schaadhardt A., Butler L.D., Hiniker A., I Don't Even Remember What I Read”: How Design Influences Dissociation on Social Media, Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI'22), (2022); Bennett D., Metatla O., Roudaut A., Mekler E., How does HCI Understand Human Autonomy and Agency?, (2023); Bernstein M.S., Bakshy E., Burke M., Karrer B., Quantifying the Invisible Audience in Social Networks, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Paris, France) (CHI'13), pp. 21-30, (2013); Algorithmic Choice with Custom Feeds, (2023); Blumer H., What is wrong with social theory?, Sociological methods, pp. 84-96, (2017); Borning A., Muller M., Next Steps for Value Sensitive Design, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Austin, Texas, USA) (CHI'12), pp. 1125-1134, (2012); Bruckman A.S., Should you believe Wikipedia?: online communities and the construction of knowledge, (2022); Burbach L., Nakayama J., Plettenberg N., Ziefle M., Valdez A.C., User Preferences in Recommendation Algorithms: The Influence of User Diversity, Trust, and Product Category on Privacy Perceptions in Recommender Algorithms, Proceedings of the 12th ACM Conference on Recommender Systems (Vancouver, British Columbia, Canada) (RecSys'18), pp. 306-310, (2018); Burrell J., Kahn Z., Jonas A., Griffin D., When Users Control the Algorithms: Values Expressed in Practices on Twitter, Proc. ACM Hum.-Comput. Interact., 3, CSCW, (2019); Elisa Celis L., Kapoor S., Salehi F., Vishnoi N., Controlling polarization in personalization: An algorithmic framework, Proceedings of the conference on fairness, accountability, and transparency, pp. 160-169, (2019); Chen M., Wang Y., Xu C., Le Y., Sharma M., Richardson L., Wu S.-L., Chi E.H., Values of User Exploration in Recommender Systems, Proceedings of the 15th ACM Conference on Recommender Systems, (2021); Cheney-Lippold J., We are data, We Are Data, (2017); Christiano P.F., Leike J., Brown T., Martic M., Legg S., Amodei D., Deep Reinforcement Learning from Human Preferences, Advances in Neural Information Processing Systems, 30, (2017); Christin A., The ethnographer and the algorithm: beyond the black box, Theory and Society, 49, 5-6, pp. 897-918, (2020); Coyle D., Moore J., Kristensson P.O., Fletcher P., Blackwell A., I Did That! 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"Cole M.; Gary K.; Meier M.; Gonzales N.; Pina A.; Stoll R.","Cole, Mason (57219432290); Gary, Kevin (6701382254); Meier, Matt (59236829600); Gonzales, Nancy (7004271878); Pina, Armando (7004767314); Stoll, Ryan (57188756588)","57219432290; 6701382254; 59236829600; 7004271878; 7004767314; 57188756588","Utilizing the Fediverse and AI-bots for Youth Engagement During COVID-19 in a Hybrid Preventative Intervention","2024","Proceedings of the Annual Hawaii International Conference on System Sciences","","","","3857","3866","9","0","","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199778414&partnerID=40&md5=b880d16bb9d1eb1adfa431e4eaf96cbe","Georgia Institute of Technology, United States; Arizona State University, United States","Cole M., Georgia Institute of Technology, United States; Gary K., Arizona State University, United States; Meier M., Arizona State University, United States; Gonzales N., Arizona State University, United States; Pina A., Arizona State University, United States; Stoll R., Arizona State University, United States","Social media is a pervasive platform for delivering targeted interventions, albeit with cautionary ethical consequences. Recently AI robots or “bots” have been combined with social media platforms to enhance interaction, and enact behavior change through increased engagement and adherence to intervention protocols. This paper presents a customized social media platform for promoting engagement and adherence to a prevention intervention protocol. The protocol was originally developed in a group workshop format, and then online during COVID-19. A social media platform was utilized to connect group participants and deliver protocol activities. Bots encouraged participation via positive reinforcement mechanism for the entire group, and to remind a participant of protocol activities. While not a formal study, our exploratory results demonstrate that bots and a social media context support a group leader in increased engagement and adherence to the protocol. Our principal contribution in this paper is demonstrating that a personalized, adaptive instance of a Control Systems Engineering model may improve engagement-related outcomes in brief protocols. © 2024 IEEE Computer Society. All rights reserved.","chatbot; COVID-19; eHealth; fediverse; preventative intervention","Adaptive control systems; Botnet; eHealth; Social networking (online); Behaviour changes; Chatbots; Ehealth; Fediverse; Formal studies; Group workshops; Preventative intervention; Reinforcement mechanisms; Social media; Social media platforms; COVID-19","","","","","","","Abd-Alrazaq A.A., Alajlani M., Alalwan A.A., Bewick B.M., Gardner P., Househ M., An overview of the features of chatbots in mental health: A scoping review, International Journal of Medical Informatics, 132, (2019); Brooke J., SUS-A quick and dirty usability scale, Usability evaluation in industry, 189, 194, pp. 4-7, (1996); Crawley S.A., Kendall P.C., Benjamin C.L., Brodman D.M., Wei C., Beidas R.S., Podell J.L., Mauro C., Brief cognitive-behavioral therapy for anxious youth: Feasibility and initial outcomes, Cognitive and Behavioral Practice, 20, 2, pp. 123-133, (2013); Fisak B.J., Richard D., Mann A., The prevention of child and adolescent anxiety: A meta-analytic review, Prevention Science, 12, 3, pp. 255-268, (2011); Forman S.G., Olin S.S., Hoagwood K.E., Crowe M., Saka N., Evidence-based intervention in schools: Developers' views of implementation barriers and facilitators, School Mental Health, 1, 1, pp. 26-36, (2009); Gary K., Stoll R., Rallabhandi P., Patwardhan M., Hamel D., Amresh A., Pina A., Cleary K., Quezado Z., Mhealth games as rewards: Incentive or distraction?, Proceedings of the 2017 International Conference on Digital Health, pp. 209-210, (2017); German M., Gonzales N.A., West S.G., Wheeler L.A., An experimental test of the Bridges to High School intervention on harsh parenting and early age intercourse among Mexican American adolescents, Cultural Diversity and Ethnic Minority Psychology, 23, 3, (2017); Gonzales N.A., Dumka L.E., Deardorff J., Carter S.J., McCray A., Preventing poor mental health and school dropout of Mexican American adolescents following the transition to junior high school, Journal of Adolescent Research, 19, 1, pp. 113-131, (2004); Gonzales N.A., Dumka L.E., Millsap R.E., Gottschall A., McClain D.B., Wong J.J., German M., Mauricio A.M., Wheeler L.A., Carpentier F.D., Kim S.Y., Randomized trial of a broad preventive intervention for Mexican American adolescents, Journal of Consulting and Clinical psychology, 80, 1, (2012); Gonzales N.A., Jensen M., Tein J.Y., Wong J.J., Dumka L.E., Mauricio A.M., Effect of middle school interventions on alcohol misuse and abuse in Mexican American high school adolescents: Five-year follow-up of a randomized clinical trial, JAMA psychiatry, 75, 5, pp. 429-437, (2018); Hekler E.B., Klasnja P., Riley W.T., Buman M.P., Huberty J., Rivera D.E., Martin C.A., Agile science: creating useful products for behavior change in the real world, Translational behavioral medicine, 6, 2, pp. 317-328, (2016); Hughes A., Kendall P., Prediction of cognitive behavior treatment outcome for children with anxiety disorders: Therapeutic relationship and homework compliance, Behavioural and Cognitive Psychotherapy, 35, 4, pp. 487-494, (2007); Jensen M.R., Wong J.J., Gonzales N.A., Dumka L.E., Millsap R., Coxe S., Long-term effects of a universal family intervention: Mediation through parent-adolescent conflict, Journal of Clinical Child & Adolescent Psychology, 43, 3, pp. 415-427, (2014); Klasnja P., Hekler E.B., Shiffman S., Boruvka A., Almirall D., Tewari A., Murphy S.A., Microrandomized trials: An experimental design for developing just-in-time adaptive interventions, Health Psychology, 34, pp. 1220-1228, (2015); Langley A., Nadeem E., Kataoka S., Stein B., Jaycox L., Evidence-based mental health programs in schools: Barriers and facilitators of successful implementation, School Mental Health, 2, 3, pp. 105-113, (2010); Nahum-Shani I., Hekler E.B., Spruijt-Metz D., Building health behavior models to guide the development of just-in-time adaptive interventions: A pragmatic framework, Health Psychology, 34, S, (2015); Patwardhan M., Stoll R., Hamel D., Amresh A., Gary K., Pina A., Designing a mobile application to support the indicated prevention and early intervention of childhood anxiety, Proceedings of the conference on Wireless Health, pp. 8-15, (2015); Pina A.A., Holly L.E., Zerr A.A., Rivera D.E., A personalized and control systems engineering conceptual approach to target childhood anxiety in the contexts of cultural diversity, Journal of Clinical Child & Adolescent Psychology, 43, 3, pp. 442-453, (2014); Raman A., Joglekar S., Cristofaro E.D., Sastry N., Tyson G., Challenges in the decentralised web: The mastodon case, Proceedings of the internet measurement conference, pp. 217-229, (2019); Singal V., Adaptive mHealth interventions for improving youth responsiveness and clinical outcomes, (2019); Stice E., Shaw H., Bohon C., Marti C.N., Rohde P., A meta-analytic review of depression prevention programs for children and adolescents: Factors that predict magnitude of intervention effects, Journal of Consulting and Clinical Psychology, 77, 3, pp. 486-503, (2009); Stoll R., Pina A., Gary K., Amresh A., Usability of a Smartphone Application to Support the Prevention and Early Intervention of Anxiety in Youth, Cognitive and behavioral practice, 24, 4, pp. 393-404, (2017); Thamrin H., Mauricio A.M., Camacho-Thompson D.E., Kim J.J., Hidalgo S.G., Tein J.Y., Gonzales N.A., Effects of Group Facilitator Fidelity on Attendance in a Brief Universal Preventive Program, Society for Prevention Research 28th Annual Meeting, (2020); Thamrin H., Gonzales N.A., Tein J.Y., Effects of a Brief Family-Based Prevention Program on Adolescents' Cortisol Response to a Social Stress Test in Latinx-Serving Schools, SPR Virtual 29th Annual Meeting, (2021); Thamrin H., Winslow E.B., Camacho-Thompson D.E., Smola X.A., Cruz A.M., Perez V.M., Gonzales N.A., Predictors of caregiver participation in an engagement strategy to increase initiation into a family-based preventive intervention, Prevention Science, 22, pp. 880-890, (2021); Vaidyam A.N., Wisniewski H., Halamka J.D., Kashavan M.S., Torous J.B., Chatbots and conversational agents in mental health: a review of the psychiatric landscape, The Canadian Journal of Psychiatry, 64, 7, pp. 456-464, (2019); Wizemann T., Advancing the Science to Improve Population Health, (2017); Castells M., The rise of the network society (2nd ed.), (2010)","","Bui T.X.","IEEE Computer Society","AIS; Learning Health Community (LHC); National Security Agency; Promoting Awareness Victim Empowerment (PAVE); University of Arkansas, Sam M. Walton College of Business Information Systems; University of Hawai'i at Manoa, College of Business","57th Annual Hawaii International Conference on System Sciences, HICSS 2024","3 January 2024 through 6 January 2024","Honolulu","201047","15301605","978-099813317-1","","","English","Proc. Annu. Hawaii Int. Conf. Syst. Sci.","Conference paper","Final","","Scopus","2-s2.0-85199778414"
"Al-khateeb S.","Al-khateeb, Samer (56467946700)","56467946700","Dapping into the Fediverse: Analyzing What’s Trending on Mastodon Social","2022","Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","13558 LNCS","","","101","110","9","2","10.1007/978-3-031-17114-7_10","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138815563&doi=10.1007%2f978-3-031-17114-7_10&partnerID=40&md5=f8878b9fa89142e3a8e6b04411064a3d","Department of Computer Science, Design and Journalism, Creighton University, Omaha, 68178, NE, United States","Al-khateeb S., Department of Computer Science, Design and Journalism, Creighton University, Omaha, 68178, NE, United States","Social media has changed the way we consume information daily. Most social media sites are centralized, meaning they are owned by a single entity, e.g., Facebook, Twitter, and YouTube. However, recently other forms of social media sites known as decentralized social networks are getting popular. These platforms are understudied. Hence in this exploratory research, one of the most prominent decentralized social platforms known as Mastodon Social has been studied. A review of what others have focused on when it comes to studying decentralized social networks has been conducted. Scripts to collect data from Mastodon Social are shared and analyses of the collected data with many valuable insights are provided. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.","Bots; Decentralized social networks; Federated networks; Mastodon Social; Sentiments analysis; Social network analysis; Toxicity analysis","Social networking (online); Bot; Centralised; Decentralised; Decentralized social network; Federated network; Mastodon social; Sentiment analysis; Social media; Social Network Analysis; Toxicity analyse; Botnet","","","","","","","Shaw C.R., Decentralized Social Networks: Pros and Cons of the Mastodon Platform, (2020); Raman A., Joglekar S., De Cristofaro E., Sastry N., Tyson G., Challenges in the decentralised web: the mastodon case; Decentralized Social Networks: What You Need to Know; Rochko E., Mastodon. Wikipedia.org; Choosing a community; Zignani M., Mastodon content warnings: inappropriate contents in a micro-blogging platform, Harvard Dataverse, (2019); Zignani M., Gaito S., Rossi G.P., Follow the mastodon: structure and evolution of a decentralized online social network, (2018); Obadimu A., Mead E., Hussain M.N., Agarwal N., Identifying toxicity within YouTube video comment, Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2019. LNCS, 11549, pp. 214-223, (2019); Al-khateeb S., Anderson M., Agarwal N., Studying the role of social bots during cyber flash mobs, SBP-BRiMS 2021. LNCS, 12720, pp. 164-173, (2021)","S. Al-khateeb; Department of Computer Science, Design and Journalism, Creighton University, Omaha, 68178, United States; email: sameral-khateeb1@creighton.edu","Thomson R.; Dancy C.; Pyke A.","Springer Science and Business Media Deutschland GmbH","","15th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation Conference, SBP-BRiMS 2022","20 September 2022 through 23 September 2022","Pittsburgh","283509","03029743","978-303117113-0","","","English","Lect. Notes Comput. Sci.","Conference paper","Final","","Scopus","2-s2.0-85138815563"
"Anaobi I.H.; Raman A.; Castro I.; Zia H.B.; Ibosiola D.; Tyson G.","Anaobi, Ishaku Hassan (57677967500); Raman, Aravindh (57190405201); Castro, Ignacio (54891848000); Zia, Haris Bin (57204212995); Ibosiola, Damilola (57203124176); Tyson, Gareth (25960456600)","57677967500; 57190405201; 54891848000; 57204212995; 57203124176; 25960456600","Will Admins Cope? Decentralized Moderation in the Fediverse","2023","ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023","","","","3109","3120","11","9","10.1145/3543507.3583487","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150328991&doi=10.1145%2f3543507.3583487&partnerID=40&md5=a79a3ca7b3f9251998d8c963d8ecd477","Queen Mary University of London, United Kingdom; Telefonica Research; Hong Kong University of Science and Technology (GZ), Hong Kong","Anaobi I.H., Queen Mary University of London, United Kingdom; Raman A., Telefonica Research; Castro I., Queen Mary University of London, United Kingdom; Zia H.B., Queen Mary University of London, United Kingdom; Ibosiola D., Queen Mary University of London, United Kingdom; Tyson G., Hong Kong University of Science and Technology (GZ), Hong Kong","As an alternative to Twitter and other centralized social networks, the Fediverse is growing in popularity. The recent, and polemical, takeover of Twitter by Elon Musk has exacerbated this trend. The Fediverse includes a growing number of decentralized social networks, such as Pleroma or Mastodon, that share the same subscription protocol (ActivityPub). Each of these decentralized social networks is composed of independent instances that are run by different administrators. Users, however, can interact with other users across the Fediverse regardless of the instance they are signed up to. The growing user base of the Fediverse creates key challenges for the administrators, who may experience a growing burden. In this paper, we explore how large that overhead is, and whether there are solutions to alleviate the burden. We study the overhead of moderation on the administrators. We observe a diversity of administrator strategies, with evidence that administrators on larger instances struggle to find sufficient resources. We then propose a tool, WatchGen, to semi-automate the process. © 2023 ACM.","Content Moderation; Decentralized Social Networks; Decentralized Web; Federation policies; Fediverse","Centralised; Content moderation; Decentralised; Decentralized social network; Decentralized web; Federation policy; Fediverse; Social networking (online)","","","","","EU Horizon Framework, (101093006); Engineering and Physical Sciences Research Council, EPSRC, (EP/S033564/1, EP/V011189/1, EP/W032473/1)","This research was supported by EPSRC grants EP/S033564/1, EP/W032473/1, UKRI DSNmod (REPHRAIN EP/V011189/1), and EU Horizon Framework grant agreement 101093006 (TaRDIS).","Datta A., Buchegger S., Vu L.-H., Strufe T., Rzadca K., Decentralized online social networks, Handbook of social network technologies and applications, pp. 349-378, (2010); ActivityPub, (2018); Ahn Y.-Y., Han S., Kwak H., Moon S., Jeong H., Analysis of topological characteristics of huge online social networking services, Proceedings of the 16th international conference on World Wide Web, pp. 835-844, (2007); Ames B., Lara H., Anthony G., Dan S., Honggang Z., The growth of diaspora - A decentralized online social network in the wild, INFOCOM Workshops, (2012); Arnold N.A., Steer B., Hafnaoui I., G Parada H.A., Mondragon R.J., Cuadrado F., Clegg R.G., Moving with the times: Investigating the alt-right network gab with temporal interaction graphs, Proceedings of the ACM on Human-Computer Interaction, 5, pp. 1-17, (2021); Ashwin R., Paul R., Ceren B., Quick, community-specifc learning: How distinctive toxicity norms are maintained in political subreddits, Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020, pp. 557-568, (2020); Guidi B., Conti M., Passarella A., Ricci L., Managing social contents in decentralized online social networks: A survey, Online Social Networks and Media, 7, pp. 12-29, (2018); Zia H.B., Jiahui H.E., Raman A., Castro I., Sastry N., Tyson G., Flocking to mastodon: Tracking the great twitter migration, Arxiv, (2023); Burnap P., Williams M.L., Hate speech, machine classifcation and statistical modelling of information fows on Twitter: Interpretation and communication for policy decision making, Internet, Policy and Politics Conference, (2014); Ziems C., Vigfusson Y., Morstatter F., Aggressive, repetitive, intentional, visible, and imbalanced: Refning representations for cyberbullying classifcation, Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020, pp. 808-819, (2020); Cox J., 30,000 New Users Signed Up for Mastodon After Elon Musk Bought Twitter, (2022); Dinakar K., Reichart R., Lieberman H., Modeling the detection of textual cyberbullying, The Social Mobile Web, pp. 11-17, (2011); Doan T.V., Pham T.D., Oberprieler M., Bajpai V., Measuring decentralized video streaming: A case study of dtube, IFIP Networking 2020, pp. 118-126, (2020); Eshwar C., Mattia S., Anirudh S., Eric G., The bag of communities, Advances in Neural Information Processing Systems, pp. 3175-3187, (2017); Farokhmanesh M., A beginner's guide to Mastodon, the hot new open-source Twitter clone, (2017); (2019); Garimella K., Weber I., De Choudhury M., Quote rts on twitter: Usage of the new feature for political discourse, Proceedings of the 8th ACM Conference on Web Science, pp. 200-204, (2016); Guidi B., Conti M., Passarella A., Ricci L., Managing social contents in decentralized online social networks: A survey, Online Social Networks and Media, (2018); Kwak H., Lee C., Park H., Moon S., What is twitter, a social network or a news media?, Proceedings of the 19th International Conference on World wide web, WWW '10, pp. 591-600, (2010); Ibosiola D., Castro I., Stringhini G., Uhlig S., Tyson G., Who watches the watchmen: Exploring complaints on the web, The World Wide Web Conference, pp. 729-738, (2019); Iqbal W., Arshad M.H., Tyson G., Castro I., Exploring crowdsourced content moderation through lens of reddit during covid-19, Proceedings of the 17th Asian Internet Engineering Conference, pp. 26-35, (2022); Ishaku H.A., Aravindh R., Ignacio C., Bin Z.H., De Cristofaro E., Nishanth S., Gareth T., Exploring content moderation in the decentralised web: The pleroma case, CoNEXT 2021 -Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies, pp. 328-335, (2021); Ugander J., Karrer B., Backstrom L., Marlow C., The anatomy of the facebook social graph, (2011); Tallal Javed R., Shuja M.E., Usama M., Qadir J., Iqbal W., Tyson G., Castro I., Garimella K., A frst look at COVID-19 messages on WhatsApp in Pakistan, 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM, pp. 118-125, (2020); Justin C., Cristian D.-N.-M., Jure L., Antisocial behavior in online discussion communities, Proceedings of the 9th International Conference on Web and Social Media, ICWSM 2015, pp. 61-70, (2015); Kai L.J., Ta C.K., Laung L.C., A collusion-resistant automation scheme for social moderation systems, Conference on Human Factors in Computing Systems-Proceedings, pp. 1157-1162, (2016); Khare P., Karan M., McQuistin S., Perkins C., Tyson G., Purver M., Healey P., Castro I., The web we weave: Untangling the social graph of the IETF, Proceedings of the International AAAI Conference on Web and Social Media, 16, pp. 500-511, (2022); Kumar R., Novak J., Tomkins A., Structure and evolution of online social networks, Link mining: models, algorithms, and applications, pp. 337-357, (2010); Traud A.L., Mucha P.J., Porter M.A., Social structure of facebook networks, Physica A: Statistical Mechanics and its Applications, pp. 4165-4180, (2012); La Cava L., Sergio G., Andrea T., Understanding the growth of the Fediverse through the lens of Mastodon, Applied Network Science, 6, 1, (2021); Cha M., Haddadi H., Benevenuto F., Gummadi P.K., Measuring user infuence in twitter: The million follower fallacy, Proceedings of the 5th International Conference on Web and Social Media, ICWSM '10, (2010); Manikonda L., Hu Y., Kambhampati S., Analyzing user activities, demographics, social network structure and user-generated content on Instagram, (2014); (2016); Matteo Z., Christian Q., Alessia G., Sabrina G., Paolo R.G., Mastodon content warnings: Inappropriate contents in a microblogging platform, Proceedings of the 13th International Conference on Web and Social Media, ICWSM 2019, pp. 639-645, (2019); McQuistin S., Karan M., Khare P., Perkins C., Tyson G., Purver M., Healey P., Iqbal W., Qadir J., Castro I., Characterising the ietf through the lens of rfc deployment, Proceedings of the 21st ACM Internet Measurement Conference, pp. 137-149, (2021); Myers S.A., Sharma A., Gupta P., Lin J., Information network or social network? The structure of the Twitter follow graph, Proceedings of the 23rd International Conference on World Wide Web, pp. 493-498, (2014); (2018); (2018); Raman A., Joglekar S., De Cristofaro E., Sastry N., Tyson G., Challenges in the decentralised web: The mastodon case, ACM IMC, pp. 217-229, (2019); Razavi A.H., Inkpen D., Uritsky S., Matwin S., Ofensive language detection using multi-level classifcation, Canadian Conference on Artifcial Intelligence, pp. 16-27, (2010); Schwittmann L., Boelmann C., Wander M., Weis T., Sonet-privacy and replication in federated online social networks, Distributed Computing Systems Workshops, (2013); Sood S.O., Churchill E.F., Antin J., Automatic identifcation of personal insults on social news sites, Journal of the American Society for Information Science and Technology, pp. 270-285, (2012); Stevie C., Zhiyuan L., De Choudhury M., This post will just get taken down: Characterizing removed pro-eating disorder Social media content, 2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009, pp. 1157-1162, (2009); Trautwein D., Raman A., Tyson G., Castro I., Scott W., Schubotz M., Gipp B., Psaras Y., Design and evaluation of IPFS: A storage layer for the decentralized web, Proceedings of the ACM SIGCOMM 2022 Conference, pp. 739-752, (2022); Viswanath B., Mislove A., Cha M., Gummadi K.P., On the evolution of user interaction in facebook, Proceedings of the 2nd ACM workshop on Online social networks, pp. 37-42, (2010); Warner W., Hirschberg J., Detecting hate speech on the world wide web, Proceedings of the Second Workshop on Language in Social Media. Association for Computational Linguistics, pp. 19-26, (2014); Waseem Z., Hovy D., Hateful symbols or hateful people? predictive features for hate speech detection on twitter, Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT, pp. 88-93, (2016); Wauters E., Donoso V., Lievens E., Optimizing transparency for users in social networking sites info, (2014); Xu J.-M., Burchfel B., Zhu X., Bellmore A., An examination of regret in bullying tweets, Proceedings of the North American Chapter ofthe Association for Computational Linguistics (NAACL-HLT, pp. 697-702, (2011); Xu Z., Zhu S., Filtering ofensive language in online communities using grammatical relations, Proceedings of the Seventh Annual Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference, pp. 1-10, (2010); Yvette W.D., Volunteer Moderators in Twitch Micro Communities, pp. 1-13, (2013); Zia H.B., Castro I., Tyson G., Racist or sexist meme? classifying memes beyond hateful, Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021, pp. 215-219, (2021); Zia H.B., Raman A., Castro I., Anaobi I.H., De Cristofaro E., Sastry N., Tyson G., Toxicity in the decentralized web and the potential for model sharing, ACM SIGMETRICS, (2022); Zignani M., Gaito S., Rossi G.P., Followthe mastodon: Structure and evolution of a decentralized online social network, ICWSM, (2018); Zignani M., Galto S., Rossi G.P., Followthe ""Mastodon"": Structure and evolution of a decentralized online social media, ICWSM, pp. 541-550, (2018)","","","Association for Computing Machinery, Inc","ACM SIGWEB; Amazon Science; Baidu; et al.; Megagon Labs; Zhipu AI","2023 World Wide Web Conference, WWW 2023","30 April 2023 through 4 May 2023","Austin","188213","","978-145039416-1","","","English","ACM Web Conf. - Proc. World Wide Web Conf., WWW","Conference paper","Final","All Open Access; Green Open Access","Scopus","2-s2.0-85150328991"
"Oishi S.; Fukuta N.","Oishi, Sho (57193340502); Fukuta, Naoki (8695054200)","57193340502; 8695054200","MstdnDeck: An agent-based protection of cyber-bullying on distributedly managed linked microbloggings","2017","Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017","","","","1195","1198","3","3","10.1145/3106426.3109415","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031020027&doi=10.1145%2f3106426.3109415&partnerID=40&md5=529c989b4601d6bb9b648f71eb08d3be","Department of Informatics, Graduate School of Integrated Science and Technology, Shizuoka University, 3-5-1, Johoku, Naka-ku Hamamatsu Shizuoka, 432-8011, Japan; Academic Institute, College of Informatics, Shizuoka University, 3-5-1,Johoku, Naka-ku Hamamatsu, Shizuoka, 432-8011, Japan","Oishi S., Department of Informatics, Graduate School of Integrated Science and Technology, Shizuoka University, 3-5-1, Johoku, Naka-ku Hamamatsu Shizuoka, 432-8011, Japan; Fukuta N., Academic Institute, College of Informatics, Shizuoka University, 3-5-1,Johoku, Naka-ku Hamamatsu, Shizuoka, 432-8011, Japan","In this paper, to resolve some issues on personal assistance that are working on some social network services, we present a platform that allows agents to analyze some associated informations to make e.ective protraction and prevention of cyber-bullying. We also present a prototype implementation of our platform that allows agents handle and analyze contexts on the Mastodon-based social networks. On the current implementation, a personal assistant agent can run on a same browser that opened web site of the social networking service. © 2017 ACM.","Cyber-bullying; Mastodon; Reasoning","Agent based; Cyber bullying; Mastodon; Personal assistant agents; Prototype implementations; Reasoning; Social network services; Social networking services; Social networking (online)","","","","","JST CREST JPMJCR15E1, (CREST JPMJCR15E1)","‘is work was partly supported by JST CREST JPMJCR15E1.","Colombo G.B., Burnap P., Hodorog A., Scourfield J., Analysing the connectivity and communication of suicidal users on twitter, Comput. Commun. (2016), pp. 291-300, (2016); Dinakar K., Jones B., Havasi C., Lieberman H., Picard R., Common sense reasoning for detection, prevention, and mitigation of cyberbullying, ACM Trans. Interact. Intell. Syst. (2012), 18, pp. 1-18, (2012); Dinakar K., Picard R., Lieberman H., Common sense reasoning for detection, prevention, and mitigation of cyberbullying, Proceedings of the 24th International Conference on Arti€cial Intelligence (IJCAI'15), pp. 4168-4172, (2015); Fukuta N., A mobile agent approach for P2P-based semantic file retrieval, Journal of Information Processing, 20, 3, pp. 607-613, (2012); Ito T., Fukuta N., Shintani T., Sycara K., BiddingBot: A multiagent support system for cooperative bidding in multiple auctions, Proceedings Fourth International Conference on MultiAgent Systems, pp. 399-400, (2000); Liu J., Li L., Russell K., What becomes of the broken hearted?: An agent-based approach to self-evaluation, interpersonal loss, and suicide ideation, Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS '17), pp. 436-445, (2017); Oishi S., Fukuta N., A cooperative task execution mechanism for personal assistant agents using ability ontology, 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI'16), pp. 664-667, (2016); Oishi S., Fukuta N., Toward a flexible ability selection mechanism for personal assistant agent using ontology reasoning, 1st International Workshop on Platforms and Applications for Social Problem Solving and Collective Reasoning(PASSCR'16), pp. 92-95, (2016); Oishi S., Fukuta N., Toward a user incentive mechanism to accomplish unworkable tasks for agents, 2016 IEEE International Conference on Agents (ICA'16), pp. 125-126, (2016); Oishi S., Fukuta N., Toward a Negotiation-based Cooperation Mechanism for User Assistance Agents and Humans, The 10th InternationalWorkshop on Agent-based Complex Automated Negotiations (ACAN'17), (2017); Olweus D., Bullying at School : What We Know and What We Can do, (1993); Zhong H., Li H., Squicciarini A., Rajtmajer S., Griffin C., Miller D., Caragea C., Content-driven detection of cyberbullying on the instagram social network, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI'16), pp. 3952-3958, (2016)","","","Association for Computing Machinery, Inc","ACM SIGART; IEEE Computer Society Technical Committee on Intelligent Informatics (TCII); Web Intelligence Consortium (WIC)","16th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017","23 August 2017 through 26 August 2017","Leipzig","130536","","978-145034951-2","","","English","Proc. - IEEE/WIC/ACM Int. Conf. Web Intell., WI","Conference paper","Final","","Scopus","2-s2.0-85031020027"
"Nagulendra S.; Vassileva J.","Nagulendra, Sayooran (56014606900); Vassileva, Julita (7003752666)","56014606900; 7003752666","Providing awareness, understanding and control of personalized stream filtering in a P2P social network","2013","Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","8224 LNCS","","","61","76","15","8","10.1007/978-3-642-41347-6_6","https://www.scopus.com/inward/record.uri?eid=2-s2.0-84892903411&doi=10.1007%2f978-3-642-41347-6_6&partnerID=40&md5=48286f9f01622408c8ba59d733d177ac","MADMUC Lab., University of Saskatchewan, Saskatoon, SK, Canada","Nagulendra S., MADMUC Lab., University of Saskatchewan, Saskatoon, SK, Canada; Vassileva J., MADMUC Lab., University of Saskatchewan, Saskatoon, SK, Canada","In Online Social Networks (OSNs) users are often overwhelmed with the huge amount of social data, most of which are irrelevant to their interest. Filtering of the social data stream is the way to deal with this problem, and it has already been applied by OSNs, such as Facebook. Unfortunately, personalized filtering leads to ""the filter bubble"" problem where the user is trapped inside a world within the limited boundaries of her interests and cannot be exposed to any surprising, desirable information. Moreover, these OSNs are black boxes, providing no transparency of how the filtering mechanism decides what is to be shown in the social data stream. As a result, the user trust in the system can decline. This paper proposes an interactive method to visualize the personalized stream filtering in OSNs. The proposed visualization helps to create awareness, understanding, and control of personalized stream filtering to alleviate ""the filter bubble"" problem and increase the users' trust in the system. The visualization is implemented in MADMICA - a privacy aware decentralized OSN, based on the Friendica P2P protocol. We present the results of a small-scale study to evaluate the user experience with the proposed visualization in MADMICA. © Springer-Verlag 2013.","Online communities; Social networks; Social visualization","Data communication systems; Online systems; Social networking (online); Visualization; Filtering mechanism; Interactive methods; On-line communities; Online social networks (OSNs); P2P protocols; Privacy aware; Social visualization; User experience; Information filtering","","","","","","","Burke R., Hybrid Web Recommender Systems, LNCS, 4321, pp. 377-408, (2007); Garrett J.J., The Elements of User Experience: User-Centered Design for the Web and Beyond, Pearson Education, (2010); Herlocker J.L., Konstan J.A., Riedl J., Explaining Collaborative Filtering Recommendations, Proc. ACM Conference on Computer Supported Cooperative Work, CSCW 2000, pp. 241-250, (2000); Johnson H., Johnson P., Explanation Facilities and Interactive Systems, Proc. 1st International Conference on Intelligent User Interfaces, IUI 1993, pp. 159-166, (1993); Kaela S., The Role of HTML5 and Flash in Web Design, (2012); Konstan J.A., Riedl J., Recommender systems: From algorithms to user experience, User Modeling and User-Adapted Interaction, 22, 1-2, pp. 101-123, (2012); Macgirvin M., DFRN - The Distributed Friends & Relations Network; Nagulendra S., Vassileva J., Minimizing Social Data Overload through Interest-Based Stream Filtering in a P2P Social Network, Proc. of the IEEE International Conference on Social Computing, SocialCom 2013 (2013); Pariser E., The Filter Bubble: What the Internet Is Hiding from You, (2011); Pu P., Chen L., Trust Building with Explanation Interfaces, Proc. 11th International Conference on Intelligent User Interfaces, IUI 2006, (2006); Resnick P., Munson S.A., Garrett R.K., Stroud N.J., Kriplean T., Bursting Your (Filter) Bubble: Strategies for Promoting Diverse Exposure, Proc. of the Conference on Computer Supported Cooperative Work, CSCW 2013 Companion Proc., pp. 95-100, (2013); Resnick P., Varian H.R., Recommender systems, Communications of the ACM, 40, 3, pp. 56-58, (1997); Ricci F., Rokach L., Shapira B., Introduction to Recommender Systems Handbook, Recommender Systems Handbook, pp. 1-35, (2011); Shneiderman B., The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations, Proc. 1996 IEEE Symposium on Visual Languages, pp. 336-343, (1996); Tandukar U., Vassileva J., Selective Propagation of Social Data in Decentralized Online Social Network, LNCS, 7138, pp. 213-224, (2012); Tandukar U., Vassileva J., Ensuring Relevant and Serendipitous Information Flow in Decentralized Online Social Network, LNCS (LNAI), 7557, pp. 79-88, (2012); Tintarev N., Masthoff J., Effective Explanations of Recommendations: User-Centered Design, Proc. ACM Conference on Recommender Systems, RecSys 2007, pp. 153-156, (2007); Wang Y., Zhang J., Vassileva J., Towards Effective Recommendation of Social Data across Social Networking Sites, LNCS, 6304, pp. 61-70, (2010); Webster A., Vassileva J., The KeepUP Recommender System, Proc. of the 2007 ACM Conference on Recommender Systems, RecSys 2007, pp. 173-176, (2007)","","","","","19th International Conference on Collaboration and Technology, CRIWG 2013","30 October 2013 through 1 November 2013","Wellington","102172","16113349","978-364241346-9","","","English","Lect. Notes Comput. Sci.","Conference paper","Final","","Scopus","2-s2.0-84892903411"
"Zulli D.; Liu M.; Gehl R.","Zulli, Diana (57196716013); Liu, Miao (58368280700); Gehl, Robert (25957999800)","57196716013; 58368280700; 25957999800","Rethinking the “social” in “social media”: Insights into topology, abstraction, and scale on the Mastodon social network","2020","New Media and Society","22","7","","1188","1205","17","43","10.1177/1461444820912533","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088394962&doi=10.1177%2f1461444820912533&partnerID=40&md5=9e6b1a81b5e6ecc366de1abd187ae6c9","Purdue University, United States; Beijing Normal University, China; The University of Utah, United States","Zulli D., Purdue University, United States; Liu M., Beijing Normal University, China; Gehl R., The University of Utah, United States","Online interactions are often understood through the corporate social media (CSM) model where social interactions are determined through layers of abstraction and centralization that eliminate users from decision-making processes. This study demonstrates how alternative social media (ASM)—namely Mastodon—restructure the relationship between the technical structure of social media and the social interactions that follow, offering a particular type of sociality distinct from CSM. Drawing from a variety of qualitative data, this analysis finds that (1) the decentralized structure of Mastodon enables community autonomy, (2) Mastodon’s open-source protocol allows the internal and technical development of the site to become a social enterprise in and of itself, and (3) Mastodon’s horizontal structure shifts the site’s scaling focus from sheer number of users to quality engagement and niche communities. To this end, Mastodon helps us rethink “the social” in social media in terms of topology, abstraction, and scale. © The Author(s) 2020.","Abstraction; alternative social media; grounded theory; Mastodon; platform studies; scale; social media; topology","","","","","","","","Berman M., Chase J.S., Landweber L., Et al., GENI: a federated testbed for innovative network experiments, Computer Networks, 61, pp. 5-23, (2014); Bogost I., Montfort N., Platform studies: frequently questioned answers, (2009); Bucher T., If.. Then: Algorithmic Power and Politics, (2018); Carpentier N., Beyond the ladder of participation: an analytical toolkit for the critical analysis of participatory media processes, Javnost: The Public: Journal of the European Institute for Communication and Culture, 23, 1, pp. 70-88, (2016); Chenet C., The importance of choosing the correct Mastodon instance (blog post), (2017); Clarke A., Situational Analysis: Grounded Theory after the Postmodern Turn, (2005); Coaston J., The Facebook free speech battle, explained, Vox, (2019); Colleoni E., Rozza A., Arvidsson A., Echo chamber or public sphere? Predicting political orientation and measuring political homophily in Twitter using big data, Journal of Communication, 64, 2, pp. 317-332, (2014); Corbin J.M., Strauss A., Grounded theory research: procedures, canons, and evaluative criteria, Qualitative Sociology, 13, 1, pp. 3-21, (1990); Corbin J.M., Strauss A., Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory, (2015); Couldry N., Curran J., The paradox of media power, Contesting Media Power: Alternative Media in a Networked World, pp. 3-15, (2003); Dewey C., The big problem with “Facebook-killer” Ello: it’s hopelessly, irredeemably naïve, The Washington Post, (2014); Eveleth R., Ello says you’re not a product, but you are, The Atlantic, (2014); Allow for setting content warnings on by default as a “subject” instance-wide · Issue #7870 · tootsuite/mastodon, Github, (2017); Facebook reports SecondQuarter 2018 results, (2018); Farokhmanesh M., A beginner’s guide to Mastodon, the hot new open-source Twitter clone, The Verge, (2017); Farokhmanesh M., What happened to Mastodon after its moment in the spotlight?, The Verge, (2017); Mastodon instances, (2019); Flaxman S., Goel S., Rao J.M., Filter bubbles, echo chambers, and online news consumption, Public Opinion Quarterly, pp. 298-320, (2016); Friz A., Gehl R.W., Pinning the feminine user: gender scripts in Pinterest’s sign-up interface, Media Culture and Society, 38, 5, pp. 686-703, (2016); Fuchs C., Social Media: A Critical Introduction, (2017); Gehl R.W., Real (software) abstractions: on the rise of Facebook and the fall of Myspace, Social Text, 30, 2, pp. 99-119, (2012); Gehl R.W., Building a better Twitter: a study of the Twitter alternatives GNU social, Quitter, rstat.us, and Twister, The Fibreculture Journal, 26, pp. 60-86, (2015); Gehl R.W., Socializing the dark Web, The New Inquiry, (2015); Gehl R.W., Snyder-Yuly J., The need for social media alternatives, Democratic Communiqué, 27, 1, pp. 78-82, (2016); Gillespie T., How social networks set the limits of what we can say online, Wired, (2018); Glaser B.G., The constant comparative method of qualitative analysis, Social Problems, 12, 4, pp. 436-445, (1965); Glaser B.G., Theoretical Sensitivity: Advances in the Methodology of Grounded Theory, (1987); Glaser B.G., Strauss A.L., The Discovery of Grounded Theory: Strategies for Qualitative Research, (1967); Hatmaker T., Whatever happened to Ello, the social network that was supposed to kill Facebook?, The Washington Post, (2015); Henry J., Mastodon is dead in the water, Hackernoon, (2017); Hogan P., Mastodon makes the internet feel like home again, The Outline, (2017); Jenkins H., Convergence Culture, (2008); Jenkins H., Carpentier N., Theorizing participatory intensities: a conversation about participation and politics, Convergence, 19, 3, pp. 265-286, (2013); Kramer J., Hazzan O., The role of abstraction in software engineering, ACM SIGSOFT Software Engineering Notes, 31, 6, pp. 38-39, (2006); Langlois G., What are the stakes in doing critical research on social media platforms?, Social Media + Society, 1, 1, (2015); Lekach S., The coder who built Mastodon is 24, fiercely independent, and doesn’t care about money, Mashable, (2017); McKelvey F., A programmable platform? Drupal, modularity, and the future of the Web, Fibreculture, (2011); Makuch B., The Nazi-free alternative to Twitter is now home to the biggest far right social network, Vice, (2019); Massanari A., #Gamergate and the fappening: how Reddit’s algorithm, governance, and culture support toxic technocultures, New Media & Society, 19, 3, pp. 329-346, (2017); Miriam S., Twitter-killer Mastodon.Social is here to stay, OxGadgets, (2017); Pateman C., Participation and Democratic Theory, (1970); Renninger B.J., ‘Where I can be myself.. where I can speak my mind’: networked counterpublics in a polymedia environment, New Media & Society, 17, 9, pp. 1513-1529, (2015); Rhodes M., Like Twitter but hate the trolls? Try Mastodon, Wired, (2017); Roberts S.T., Social media’s silent filter, The Atlantic, (2017); Rochko E., Mastodon.social—about, (2017); Saint N., Remember diaspora? The would-be Facebook-killer is still underway for some reason, Business Insider, (2010); Shah S., Facebook apologizes for its moderation “mistakes., Engadget, (2017); freespeech.firedragonstudios, com; Soh K., Newbie’s FAQ on Mastodon social network, Medium, (2017); Srauy S., The limits of social media: what social media can be, and what we should hope they never become, Social Media+ Society, 1, 1, (2015); Tate R., How to sneak a dirty joke into the New York Times, Gawker, (2010); Tobin A., Varner M., Angwin J., Facebook’s uneven enforcement of hate speech rules allows vile posts to stay up, ProPublica, (2017); Ulanoff L., Six reasons Mastodon won’t survive, Mashable, (2017); Valens A., Mastodon is crumbling: and many blame its creator, The Daily Dot, (2019); Zulli D., Capitalizing on the look: insights into the glance, attention economy, and Instagram, Critical Studies in Media Communication, 35, 2, pp. 137-150, (2018)","D. Zulli; Purdue University, United States; email: dzulli@purdue.edu","","SAGE Publications Ltd","","","","","","14614448","","","","English","New Media and Society","Article","Final","","Scopus","2-s2.0-85088394962"
"Mondal M.; Correa D.; Benevenuto F.","Mondal, Mainack (55078991700); Correa, Denzil (35483528500); Benevenuto, Fabrício (8559211800)","55078991700; 35483528500; 8559211800","Anonymity effects: A large-scale dataset from an anonymous social media platform","2020","Proceedings of the 31st ACM Conference on Hypertext and Social Media, HT 2020","","","","69","74","5","3","10.1145/3372923.3404792","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089546103&doi=10.1145%2f3372923.3404792&partnerID=40&md5=6bf7e5932dc2eb61e0173248ab96c8ea","Indian Institute of Technology, Kharagpur, Kharagpur, India; Indian Institute of Technology, Delhi, Delhi, India; Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","Mondal M., Indian Institute of Technology, Kharagpur, Kharagpur, India; Correa D., Indian Institute of Technology, Delhi, Delhi, India; Benevenuto F., Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","Today online social media sites function as the medium of expression for billions of users. As a result, aside from conventional social media sites like Facebook and Twitter, platform designers introduced many alternative social media platforms (e.g., 4chan, Whisper, Snapchat, Mastodon) to serve specific userbases. Among these platforms, anonymous social media sites like Whisper and 4chan hold a special place for researchers. Unlike conventional social media sites, posts on anonymous social media sites are not associated with persistent user identities or profiles. Thus, these anonymous social media sites can provide an extremely interesting data-driven lens into the effects of anonymity on online user behavior. However, to the best of our knowledge, currently there are no publicly available datasets to facilitate research efforts on these anonymity effects. To that end, in this paper, we aim to publicly release the first ever large-scale dataset from Whisper, a large anonymous online social media platform. Specifically, our dataset contains 89.8 Million Whisper posts (called ""whispers"") published between a 2-year period from June 6, 2014 to June 6, 2016 (when Whisper was quite popular). Each of these whispers contained both post text and associated metadata. The metadata contains information like coarse-grained location of upload and categories of whispers. We also present preliminary descriptive statistics to demonstrate a significant language and categorical diversity in our dataset. We leverage previous work as well as novel analysis to demonstrate that the whispers contain personal emotions and opinions (likely facilitated by a disinhibition complex due to anonymity). Consequently, we envision that our dataset will facilitate novel research ranging from understanding online aggression to detect depression within online populace. © 2020 ACM.","Anonymity; Hate speech; Pattern recognition; Public dataset; Social media; Whisper","Behavioral research; Hypertext systems; Large dataset; Metadata; Coarse-grained; Descriptive statistics; Disinhibition; Large-scale dataset; Online aggressions; Online social medias; Research efforts; Social media platforms; Social networking (online)","","","","","","","Bernstein M.S., Monroy-Hernandez A., Harry D., Andre P., Panovich K., Vargas G.G., 4chan and/b: An analysis of anonymity and ephemerality in a large online community, ICWSM, (2011); Bojanowski P., Grave E., Joulin A., Mikolov T., Enriching Word Vectors with Subword Information, (2016); Cha M., Haddadi H., Benevenuto F., Gummadi K.P., Measuring user influence in twitter: The million follower fallacy, ICWSM, (2010); Cha M., Mislove A., Gummadi K.P., A measurement-driven analysis of information propagation in the flickr social network, WWW, (2009); Correa D., Silva L., Mondal M., Benevenuto F., Gummadi K.P., The many shades of anonymity: Characterizing anonymous social media content, ICWSM, (2015); Founta A., Djouvas C., Chatzakou D., Leontiadis I., Blackburn J., Stringhini G., Vakali A., Sirivianos M., Kourtellis N., Large scale crowdsourcing and characterization of twitter abusive behavior, ICWSM, (2018); Gannes L., On Making Our Digital Lives More Real, (2013); Griffith E., With 2 million users ""secrets app, Whisper Launches on Android, (2013); Johnson K., Strangers Share Extreme Confessions on Whisper App, (2017); Lynley M., After Passing 10 Million Monthly Active Users, Whisper Hires Its First President, (2015); Mathew B., Dutt R., Kalyan Maity S., Goyal P., Mukherjee A., Deep dive into anonymity: Large scale analysis of quora questions, International Conference on Social Informatics, pp. 35-49, (2019); Mccracken H., Whisper's Master of Content Moderation Is A Machine, (2016); Mislove A., Viswanath B., Gummadi K.P., Druschel P., You are who you know: Inferring user profiles in online social networks, WSDM, (2010); Pinsonneault A., Heppel N., Anonymity in group support systems research: Anewconceptualization, measure, and contingency framework, Journal of Management Information Systems, 14, 3, pp. 89-108, (1997); Sassenberg K., Common bond and common identity groups on the internet: Attachment and normative behavior in on-topic and off-topic chats, Group Dynamics: Theory, Research, and Practice, 6, 1, pp. 27-37, (2002); Araujo Silva L., Mondal M., Correa D., Benevenuto F., Weber I., Analyzing the targets of hate in online social media, ICWSM, (2016); Sleeper M., Balebako R., Das S., Lynn McConahy A., Wiese J., Faith Cranor L., The post that wasn't: Exploring self-censorship on facebook, CSCW, (2013); Suler J., The online disinhibition effect, Cyberpsychology & Behavior, 7, 3, pp. 321-326, (2004); Turner J.C., Social categorization and the self-concept: A social cognitive theory of group behavior, Advances in Group Process, 2, pp. 77-122, (1985); Ungerleider N., How Whisper Survives As Other Anonymous Social Apps Like Yik Yak Fail, (2017); Viswanath B., Mislove A., Cha M., Gummadi K.P., On the evolution of user interaction in facebook, WOSN, (2009); Wang G., Wang B., Wang T., Nika A., Zheng H., Zhao B.Y., Whispers in the dark: Analyzing an anonymous social network, IMC, (2014); Zimbardo P.G., The human choice: Individuation, reason, and order versus deindividuation, impulse, and chaos, Nebraska Symposium on Motivation, 17, pp. 237-307, (1969)","","","Association for Computing Machinery, Inc","ACM Special Interest Group on Computer-Human Interaction (SIGCHI); ACM Special Interest Group on Hypertext, Hypermedia, and Web (SIGWEB)","31st ACM Conference on Hypertext and Social Media, HT 2020","13 July 2020 through 15 July 2020","Virtual, Online","161736","","978-145037098-1","","","English","Proc. ACM Conf. Hypertext Soc. Media, HT","Conference paper","Final","All Open Access; Bronze Open Access","Scopus","2-s2.0-85089546103"
"Schukow C.; Punjabi L.S.; Gardner J.M.","Schukow, Casey (57656982300); Punjabi, Lavisha S. (57195153226); Gardner, Jerad M. (24176845100)","57656982300; 57195153226; 24176845100","#PathMastodon: An Up-In-Coming Platform for Pathology Education among Pathologists, Trainees, and Medical Students","2024","Advances in Anatomic Pathology","31","1","","52","57","5","2","10.1097/PAP.0000000000000405","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179006496&doi=10.1097%2fPAP.0000000000000405&partnerID=40&md5=1c5b416313fc30ac612417830990aa41","Department of Pathology, Corewell Health, Royal Oak, MI, United States; Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore; Departments of Pathology and Dermatology, Geisinger Medical Center, Danville, PA, United States","Schukow C., Department of Pathology, Corewell Health, Royal Oak, MI, United States; Punjabi L.S., Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore; Gardner J.M., Departments of Pathology and Dermatology, Geisinger Medical Center, Danville, PA, United States","Social media use in pathology has continued to grow and become more mainstream among pathologists, trainees, and medical students over the past decade. Twitter has historically been (and still seems to be) a positive platform for the social media pathology community to engage with each other virtually (ie, PathTwitter). However, as a new era of Twitter leadership began to unfold in October 2022, a young platform called ""Mastodon"" began to gain notice within this community as the hashtag #PathMastodon became prevalent. Founded in 2016 by Eugen Rochko, Mastodon is a decentralized, open-sourced, ads-free platform intended to promote public knowledge in a safe and public manner. When compared with Twitter, however, Mastodon is globally much smaller, and its medical professional server called ""Med-Mastodon"" is more cumbersome with certain features (eg, tracking analytics and username changes). Nevertheless, this new platform, which looks and feels much like Twitter, has great potential to provide continued medical education and virtual excellence among the social media pathology community. Thus, the purpose of this review is to provide a relevant synopsis of how Mastodon, Med-Mastodon, and #PathMastodon may benefit pathologists, trainees, and medical students who use social media. A qualitative analysis of pertinent peer-reviewed and non-peer-reviewed materials relative to the topic will be performed. In addition, we will provide a comparison of Mastodon and Twitter, provide example figures of #PathMastodon and related posts, and elaborate on the importance this discussion brings to the social media pathology community. © 2024 Lippincott Williams and Wilkins. All rights reserved.","mastodon; Med-Mastodon; PathMastodon; pathology; social media","Animals; Humans; Mastodons; Pathologists; Social Media; Students, Medical; education; epidemiology; human; mastodon; medical education; medical student; pathologist; qualitative analysis; review; social media; animal; pathologist","","","","","","","Henderson J.; Lee G.F.; Stokel-Walker C., Should i join Mastodon? A scientists' guide to Twitter's rival, Nature, (2022); Schukow C.P., Booth A.L., Mirza K.M., #PathTwitter: A positive platform where medical students can engage the pathology community, Arch Pathol Lab Med, 147, pp. 135-136, (2023); Punjabi L.S., Schubert M., Mirza K., The use of social media for pathology education: A perspective from Asia, Lab Invest, 103, (2023); Isom J., Walsh M., Gardner J.M., Social media and pathology: Where are we now and why does it matter?, Adv Anat Pathol, 24, pp. 294-303, (2017); Price G.J., Wandering mastodons reveal the complexity of Ice Age extinctions, Proc Natl Acad Sci U S A, 119, (2022); Rochko E.; Baral S.; Rozen A., Ihara I.; Brembs B., Lenardic A., Chan L., Mastodon: A move to publicly owned scholarly knowledge, Nature, 614, (2023); Mark N.; Smith C.; Ruby D.; Glassy E.F., The rise of the social pathologist: The importance of social media to pathology, Arch Pathol Lab Med, 134, pp. 1421-1423, (2010); Gardner J.M., McKee P.H., Social media use for pathologists of all ages, Arch Pathol Lab Med, 143, pp. 282-286, (2019); Oltulu P., Mannan A., Gardner J.M., Effective use of Twitter and Facebook in pathology practice, Hum Pathol, 73, pp. 128-143, (2018); Folaranmi O.O., Ibiyeye K.M., Odetunde O.A., The influence of social media in promoting knowledge acquisition and pathology excellence in Nigeria, Front Med (Lausanne), 9, (2022); Crane G.M., Gardner J.M., Pathology image-sharing on social media: Recommendations for protecting privacy while motivating education, AMA J Ethics, 18, pp. 817-825, (2016); Gardner J.M., Allen T.C., Keep calm and tweet on: Legal and ethical considerations for pathologists using social media, Arch Pathol Lab Med, 143, pp. 75-80, (2019); El Hussein S., Lyapichev K.A., Crane G.M., Social media for hematopathologists: Medical practice reinvented - #Hemepath, Curr Hematol Malig Rep, 15, pp. 383-390, (2020); El Hussein S., Khoury J.D., Lyapichev K.A., Next-generation scholarship: Rebranding hematopathology using Twitter: The MD Anderson experience, Mod Pathol, 34, pp. 854-861, (2021); Nix J.S., Gardner J.M., Costa F., Neuropathology education using social media, J Neuropathol Exp Neurol, 77, pp. 454-460, (2018); Saleh J., Dahiya M., Social media trends in dermatology, dermatopathology, and pathology publications: The social construction of medical subdisciplines, J Cutan Pathol, 47, pp. 601-605, (2020); Ziemba Y.C., Razzano D., Allen T.C., Social media engagement at academic conferences: Report of the association of pathology chairs 2018 and 2019 annual meeting social media committee, Acad Pathol, 7, (2020); Bois M.C., Maleszewski J.J., Virtual journal club: An example of the growing importance of social media in pathology, Cardiovasc Pathol, 32, pp. 30-31, (2018); Gottesman S.P., Klein W.M., Hosler G.A., #dermpathJC: The first online dermatopathology Twitter journal club, J Cutan Pathol, 45, pp. 370-373, (2018); Ahmed A., Mirza K.M., Loghavi S., Elevating twitter-based journal club discussions by leveraging a voice-based platform: #HemepathJC meets clubhouse, Curr Hematol Malig Rep, 16, pp. 418-421, (2021); Lepe M., Oltulu P., Canepa M., #EBUSTwitter: Novel use of social media for conception, coordination, and completion of an international, multicenter pathology study, Arch Pathol Lab Med, 144, pp. 878-882, (2020); Mazer B.L., Fuller M.Y., Lepe M., Social media in pathology: Continuing a tradition of dialogue and education, Arch Pathol Lab Med, 142, pp. 889-890, (2018); Essig J., Watts M., Beck Dallaghan G.L., InstaHisto: Utilizing instagram as a medium for disseminating visual educational resources, Med Sci Educ, 30, pp. 1035-1042, (2020); Schukow C.P., Kilpatrick S.E., Highlighting Bone and Soft Tissue Pathology on Instagram, Adv Anat Pathol, (2023); Schukow C.P., Herman M., Kowalski P., TikTok: The new ""social media frontier"" in pathology?, Adv Anat Pathol, 29, pp. 324-325, (2022); Schukow C.P., McKee P.H., Knowledge in knowledge out: A next generation platform intersecting social media with digital pathology, Arch Pathol Lab Med, 147, pp. 386-389, (2023); Punjabi L.S., The global trainee hosts the virtual multi-header - Embracing technology in pathology education, J Eur CME, 10, (2021); Ting J.L.Z., Shuy Y.K., Punjabi L.S., A new revolution in clinical education: Is it time to move on from Oslerian bedside teaching?, Can Med Educ J, 13, pp. 77-78, (2022)","C. Schukow; Department of Pathology, Corewell Health, Royal Oak, 3601 W 13 Mile Rd, 48073, United States; email: casey.schukow@gmail.com","","Lippincott Williams and Wilkins","","","","","","10724109","","","37488707","English","Adv. Anat. Pathol.","Review","Final","","Scopus","2-s2.0-85179006496"
"Zhang Z.; Zhao J.; Wang G.; Johnston S.-K.; Chalhoub G.; Ross T.; Liu D.; Tinsman C.; Zhao R.; Van Kleek M.; Shadbolt N.","Zhang, Zhilin (59057620900); Zhao, Jun (58142167500); Wang, Ge (57209399294); Johnston, Samantha-Kaye (57205514124); Chalhoub, George (57218311479); Ross, Tala (57214146090); Liu, Diyi (58613370600); Tinsman, Claudine (57224001369); Zhao, Rui (58285167600); Van Kleek, Max (6507917811); Shadbolt, Nigel (56867428600)","59057620900; 58142167500; 57209399294; 57205514124; 57218311479; 57214146090; 58613370600; 57224001369; 58285167600; 6507917811; 56867428600","Trouble in Paradise? Understanding Mastodon Admin's Motivations, Experiences, and Challenges Running Decentralised Social Media","2024","Proceedings of the ACM on Human-Computer Interaction","8","CSCW2","520","","","","0","10.1145/3687059","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209359220&doi=10.1145%2f3687059&partnerID=40&md5=c128231f3a1e7991827e130d837de2e9","University of Oxford, Oxford, United Kingdom; Stanford University, Stanford, United States; University College London, London, United Kingdom","Zhang Z., University of Oxford, Oxford, United Kingdom; Zhao J., University of Oxford, Oxford, United Kingdom; Wang G., Stanford University, Stanford, United States; Johnston S.-K., University of Oxford, Oxford, United Kingdom; Chalhoub G., University College London, London, United Kingdom; Ross T., University of Oxford, Oxford, United Kingdom; Liu D., University of Oxford, Oxford, United Kingdom; Tinsman C., University of Oxford, Oxford, United Kingdom; Zhao R., University of Oxford, Oxford, United Kingdom; Van Kleek M., University of Oxford, Oxford, United Kingdom; Shadbolt N., University of Oxford, Oxford, United Kingdom","Decentralised social media platforms are increasingly being recognised as viable alternatives to their centralised counterparts. Among these, Mastodon stands out as a popular alternative, offering a citizen-powered option distinct from larger and centralised platforms like Twitter/X. However, the future path of Mastodon remains uncertain, particularly in terms of its challenges and the long-Term viability of a more citizen-powered internet. In this paper, following a pre-study survey, we conducted semi-structured interviews with 16 Mastodon instance administrators, including those who host instances to support marginalised and stigmatised communities, to understand their motivations and lived experiences of running decentralised social media. Our research indicates that while decentralised social media offers significant potential in supporting the safety, identity and privacy needs of marginalised and stigmatised communities, they also face considerable challenges in content moderation, community building and governance. We emphasise the importance of considering the community's values and diversity when designing future support mechanisms.  © 2024 Owner/Author.","admin experiences; citizen-powered internet; content moderation; decentralisation; online communities; social media","Admin experience; Centralised; Citizen-powered internet; Content moderation; Decentralisation; Decentralised; Long-term viability; On-line communities; Social media; Social media platforms; Tweets","","","","","Ethical Web and Data Architecture programme of the Oxford Martin School; Engineering and Physical Sciences Research Council, EPSRC, (1535259); Engineering and Physical Sciences Research Council, EPSRC","This work was supported by the UK Engineering and Physical Sciences Research Council [1535259] and the Ethical Web and Data Architecture programme of the Oxford Martin School.","The Diaspora* Project; Hubzilla; Mastodon Server Covenant; Abbing R.R., Diehm C., Warreth S., Decentralised social media, Internet Policy Review, 12, 1, (2023); Ahn Y.-Y., Han S., Kwak H., Moon S., Jeong H., Analysis of topological characteristics of huge online social networking services, Proceedings of the 16th International Conference on World Wide Web, pp. 835-844, (2007); Ammari T., Nofal M., Naseem M., Mustafa M., Moderation as Empowerment: Creating and Managing Women-Only Digital Safe Spaces, Proc. ACM Hum.-Comput. Interact., 6, (2022); Anaobi I.H., Raman A., Castro I., Zia H.B., Ibosiola D., Tyson G., Will Admins Cope? Decentralized Moderation in the Fediverse, Proceedings of the ACM Web Conference 2023, pp. 3109-3120, (2023); Baeza-Yates R., Bias on the web, Commun. ACM, 61, 6, pp. 54-61, (2018); Barabas C., Narula N., Zuckerman E., Defending Internet freedom through decentralization: back to the future, The Center for Civic Media & The Digital Currency Initiative MIT Media Lab, (2017); Baxter K., Courage C., Caine K., Understanding your users: a practical guide to user research methods, (2015); Bell E., How mastodon makes money, (2023); Bishop S., Influencer management tools: Algorithmic cultures, brand safety, and bias, Social media+ society, 7, 1, (2021); Blackwell L., Hardy J., Ammari T., Veinot T., Lampe C., Schoenebeck S., LGBT parents and social media: Advocacy, privacy, and disclosure during shifting social movements, Proceedings of the 2016 CHI conference on human factors in computing systems, pp. 610-622, (2016); Borgogno O., Colangelo G., Data sharing and interoperability: Fostering innovation and competition through APIs, Computer Law & Security Review, 35, 5, (2019); Boyatzis R.E., Transforming qualitative information: Thematic analysis and code development, (1998); Braun J., Journalism, Media Research, and Mastodon: Notes on the Future, Digital Journalism, 2023, pp. 1-8, (2023); Braun V., Clarke V., Using thematic analysis in psychology, Qualitative research in psychology, 3, 2, pp. 77-101, (2006); Braun V., Clarke V., Can I use TA? Should I use TA? Should I not use TA? 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Man-made or produced by algorithms, 8th annual arts, humanities, social sciences & education conference, pp. 1-22, (2019); Zuboff S., Big other: surveillance capitalism and the prospects of an information civilization, Journal of information technology, 30, 1, pp. 75-89, (2015); Zuboff S., The age of surveillance capitalism: The fight for a human future at the new frontier of power: Barack Obama’s books of 2019, (2019); Zulli D., Liu M., Gehl R., Rethinking the “social” in “social media”: Insights into topology, abstraction, and scale on the Mastodon social network, New Media & Society, 22, 7, pp. 1188-1205, (2020); Oana S., Buf D.-M., Hate speech in social media and its effects on the LGBT community: A review of the current research, Romanian Journal of Communication and Public Relations, 23, 1, pp. 47-55, (2021)","","","Association for Computing Machinery","","","","","","25730142","","","","English","Proc. ACM Hum. Comput. Interact.","Article","Final","All Open Access; Green Open Access; Hybrid Gold Open Access","Scopus","2-s2.0-85209359220"
"Nagulendra S.; Vassileva J.","Nagulendra, Sayooran (56014606900); Vassileva, Julita (7003752666)","56014606900; 7003752666","Minimizing social data overload through interest-based stream filtering in a P2P social network","2013","Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013","","","6693430","878","881","3","4","10.1109/SocialCom.2013.133","https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893528223&doi=10.1109%2fSocialCom.2013.133&partnerID=40&md5=cbf3f6e8de30a33c9aa444700344f47f","Department of Computer Science, University of Saskatchewan, Saskatoon, Canada","Nagulendra S., Department of Computer Science, University of Saskatchewan, Saskatoon, Canada; Vassileva J., Department of Computer Science, University of Saskatchewan, Saskatoon, Canada","In Online Social Networks (OSNs) users are overwhelmed with the huge amount of social data, most of which are irrelevant to their interest. Filtering of the social data stream is the way to deal with this problem, and it has already been applied by centralized OSNs, such as Facebook. However, it is much harder to filter the social data stream in decentralized OSNs. Decentralized OSNs, mostly based on P2P architectures, such as Diaspora or Friendica, have been proposed as an alternative to the currently dominant centralized OSNs, where people are forced to share their data with the site, and thus lose their control and rights over it. This paper presents an implementation of an interest based stream filtering mechanism using Madmica - a decentralized OSN, based on the Friendica P2P protocol. The mechanism uses the interaction between users to construct a model of user interests overlaid on the relationships of users with their friends, which acts as a filter later while propagating social data. So Madmica provides a solution to two problems simultaneously - the problem of user privacy and control over their data (through its decentralized architecture) and the problem of social data overload (through its filtering mechanism). We present the results of a pilot study to evaluate the user experience with Madmica. © 2013 IEEE.","Decentralization; Information propagation; Online Social Network; Relationship modeling","Data communication systems; Online systems; Decentralization; Decentralized architecture; Decentralized OSNs; Filtering mechanism; Information propagation; On-line social networks; Online social networks (OSNs); Relationship model; Social networking (online)","","","","","","","Berners-Lee T., Hollenbach J., Lu K., Presbrey J., Schraefel M., Tabulator redux: Browsing and writing linked data, Proceedings of the 1st Workshop on Linked Data on the Web, (2008); Buchegger S., Schioberg D., Vu L.H., Datta A., PeerSoN: P2P social networking: Early experiences and insights, Proceedings of the Second ACM EuroSys Workshop on Social Network Systems, pp. 46-52, (2009); (2013); Heckmann D., Schwartz T., Brandherm B., Decentralized user modeling with UserML and GUMO, Workshop on Decentralized, Agent Based and Social Approaches to User Modelling (DASUM), 9th Intl Conference on User Modeling, Edinburgh, Scotland, pp. 61-64, (2005); Kincaid J., EdgeRank: The Secret Sauce That Makes Facebook?s News Feed Tick; Macgirvin M., DFRN - The Distributed Friends & Relations Network, (2010); Pouwelse J.A., Garbacki P., Wang J., Et al., TRIBLER: A social-based peer-to-peer system, Concurrency and Computation: Practice and Experience, 20, 2, pp. 127-138, (2008); Tandukar U., Vassileva J., Selective propagation of social data in decentralized online social network, UMAP 2011 Workshops. LNCS, 7138, pp. 213-224, (2012); Tandukar U., Vassileva. J., Ensuring relevant and serendipitous information flow in decentralized online social network, Artificial Intelligence: Methodology, Systems, and Applications, pp. 79-88, (2012); Yeung C.A., Liccardi I., Lu K., Seneviratne O., Berners-Lee T., Decentralization: The future of online social networking, W3C Workshop on the Future of Social Networking Position Papers, (2009)","","","","Academy of Science and Engineering (ASE); IEEE Computer Society (IEEE CS)","2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013","8 September 2013 through 14 September 2013","Washington, DC","102420","","978-076955137-1","","","English","Proc. - SocialCom/PASSAT/BigData/EconCom/BioMedCom","Conference paper","Final","","Scopus","2-s2.0-84893528223"
"Zia H.B.; Castro I.; Tyson G.","Zia, Haris Bin (57204212995); Castro, Ignacio (54891848000); Tyson, Gareth (25960456600)","57204212995; 54891848000; 25960456600","Mastodoner: A Command-line Tool and Python Library for Public Data Collection from Mastodon","2024","International Conference on Information and Knowledge Management, Proceedings","","","","5314","5317","3","0","10.1145/3627673.3679217","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210027626&doi=10.1145%2f3627673.3679217&partnerID=40&md5=11c029dd1c22a71e018bbb0a6d288c8d","QMUL, London, United Kingdom; HKUST, Guangzhou, China","Zia H.B., QMUL, London, United Kingdom; Castro I., QMUL, London, United Kingdom; Tyson G., QMUL, London, United Kingdom, HKUST, Guangzhou, China","This paper introduces Mastodoner, a command-line tool and Python library aimed at simplifying access to public data on Mastodon, a prominent player in the Fediverse - - a decentralized network of interconnected social media platforms. Mastodoner addresses the challenges posed by Mastodon's decentralized nature by providing a unified interface for data collection, instance discovery, and secure data sharing. Through examples and demonstrations, this paper illustrates Mastodoner's capabilities in facilitating researchers' access to and analysis of public Mastodon data, thus advancing research in decentralized social media analytics. The tool and documentation are available at: https://github.com/harisbinzia/mastodoner.  © 2024 ACM.","command-line; data collection; fediverse; mastodon; python; social networks","Command line; Data collection; Decentralised; Decentralized networks; Fediverse; Mastodon; Public data; Secure data; Social media platforms; Social network; Python","","","","","Engineering and Physical Sciences Research Council, EPSRC; AP4L, (EP/W032473/1, REPHRAIN EP/V011189/1)","This work is supported by EPSRC grants AP4L (EP/W032473/1), DSNmod (REPHRAIN EP/V011189/1) and Fediobservatory.","ActivityPub., (2024); La Cava L., Aiello L.M., Tagarelli A., Drivers of social influence in the Twitter migration to Mastodon, Scientific Reports, 13, 1, (2023); Claudio C.-R., Introduction to computational social science, (2014); Fediverse., (2024); He J., Zia H.B., Castro I., Raman A., Sastry N., Tyson G., Flocking to mastodon: Tracking the great twitter migration, Proceedings of the 2023 ACM on Internet Measurement Conference., pp. 111-123, (2023); Jeong U., Sheth P., Tahir A., Alatawi F., Bernard H.R., Liu H., Exploring platform migration patterns between twitter and mastodon: A user behavior study., (2023); Kumar S., Morstatter F., Liu H., Twitter data analytics, (2014); La Cava L., Greco S., Tagarelli A., Understanding the growth of the Fediverse through the lens of Mastodon, Applied network science, 6, pp. 1-35, (2021); Lazer D.M.J., Pentland A., Watts D.J., Aral S., Athey S., Contractor N., Freelon D., Sandra G.-B., King G., Margetts H., Et al., Computational social science: Obstacles and opportunities, Science, 369, 6507, pp. 1060-1062, (2020); Mastodon., (2016); PeerTube., (2018); Pfeffer J., Matter D., Jaidka K., Varol O., Mashhadi A., Lasser J., Assenmacher D., Wu S., Yang D., Brantner C., Et al., Just another day on twitter: A complete 24 hours of twitter data, Proceedings of the International AAAI Conference on Web and Social Media, 17, pp. 1073-1081, (2023); Pixelfed., (2018); Pleroma., (2016); XDevelopers., (2023)","","","Association for Computing Machinery","ACM SIGIR; ACM SIGWEB","33rd ACM International Conference on Information and Knowledge Management, CIKM 2024","21 October 2024 through 25 October 2024","Boise","203771","21550751","979-840070436-9","","","English","Int Conf Inf Knowledge Manage","Conference paper","Final","","Scopus","2-s2.0-85210027626"
"Caelin D.","Caelin, Derek (58243345200)","58243345200","Decentralized Networks vs The Trolls","2022","Fundamental Challenges to Global Peace and Security: The Future of Humanity","","","","143","168","25","10","10.1007/978-3-030-79072-1_8","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144169511&doi=10.1007%2f978-3-030-79072-1_8&partnerID=40&md5=8e0355e55d6b50202fb39932a86f6bdd","Rocky Hill, CT, United States","Caelin D., Rocky Hill, CT, United States","In the summer of 2019, the far right social network Gab migrated to the decentralized “Fediverse” of social networks after being booted from mainstream financial services and hosting solutions. Almost immediately, Gab was met by a dedicated movement to isolate it. The movement was largely successful; within a year, the Gab CTO announced they would leave the Fediverse. This paper recounts how moderators, activists, and developers in the Fediverse used strong moderation tools, representative codes of conduct, and no small amount of organization to promote healthy online spaces. However, the Fediverse is no utopia, and many moderators still struggle to address motivated antagonists. Ultimately, decentralization provides both opportunities and challenges for moderators of this form of social media. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.","Content moderation; Decentralization; Far right; Gab; Mastodon; Social media","","","","","","","","Facebook, (2019); (2018); Basu N., SC Lawyer Sanjay Hegde Tangles with Twitter over “Defiance” Photo from 1936 Nazi Germany, ThePrint, (2019); Behrenshausen B., Pump.io: The Decentralized Social Network That’s Really Fun, Opensource.com, (2013); Caelin D., Derek Caelin (@Argus@mastodon.technology), Mastodon for Tech Folks, (2020); GitHub, (2020); Facebook, (2020); Conway M., Scrivens R., Macnair L., Right-Wing Extremists’ Persistent Online Presence: History and Contemporary Trends, International Centre for Counter-Terrorism, (2019); Content Moderation Case Study: Facebook’s AI Continues to Struggle with Identifying Nudity, (2020); Cox J., Kobler J., Facebook Bans White Nationalism and White Separatism, Motherboard, (2019); Dangerous Speech Project, (2020); Dorsey J., Jack on Twitter, Twitter, (2019); The Code of Conduct on Countering Illegal Hate Speech Online, European Commission, (2020); Internet World Stats, (2020); V3 Roadmap Moderation, Let’s Improve Plugins and Playlists!, JoinPeerTube, (2020); Gans J., Leigh A., Innovation + Equality: How to Create a Future That Is More Star Trek Than Terminator, (2019); Gupta A., How to Handle a Crowd, (2020); IsolateGab: Mastodon: (@isolategab@todon.nl), Todon.nl, (2020); Jackson G., Twitter’s Emerging Competitor Doesn’t Want To Be Twitter, Kotaku, (2018); katt, fracturing (@starkatt@vulpine.club), The Vulpine Club, (2020); Khan F., Twitter Won’t Restore Sanjay Hegde’s Account, Lawyer Says Will Move Court, ThePrint, (2019); Klonic K., The New Governors: The People, Rules, and Processes Governing Online Speech, (2017); Laurelai, Hardcode a Block for Gab’s Instance by Default • Issue #108 • Florence-Social/Mastodon-Fork, GitHub, (2019); Masnick M., Masnick’s Impossibility Theorem: Content Moderation At Scale Is Impossible to Do Well, Techdirt, (2019); Masnick M., Protocols, Not Platforms: A Technological Approach to Free Speech, Knight First Amendment Institute at Columbia University, (2019); Morse J., Bye, Twitter. All the Cool Kids Are Migrating to Mastodon, Mashable, (2017); Murphy L., Cacace M., Facebook’s Civil Rights Audit-Final Report, Facebook, (2020); Netizens Accuse Twitter of Caste Bias for Verifying Users in India, News18, (2019); Octodon, (2020); O'Donovan C., Et al., YouTube Is Still Struggling to Rein in Its Recommendation Algorithm, (2019); PeaceTech Lab | Hate Speech, (2020); puffball (@wgahnagl@www.librepunk.club), librepunk, (2020); Qoto Mastodon, (2020); Rhodes M., Like Twitter But Hate the Trolls? Try Mastodon, Wired, (2017); Robertson A., How the Biggest Decentralized Social Network Is Dealing with Its Nazi Problem, The Verge, (2019); Rochko E., Learning from Twitter’s Mistakes, Official Mastodon Blog, (2017); Rules | Mastodon.technology, (2020); Rosenberg A., Gab, a Racist-Friendly Alt-Twitter, Has Been Banned by PayPal and Others, Mashable, (2018); Sample I., Study Blames YouTube for Rise in Number of Flat Earthers, Science | The Guardian, (2019); Schulze E., EU Says Facebook, Google and Twitter are Getting Faster at Removing Hate Speech Online, CNBC, (2019); Facebook: Active Users Worldwide, Statista, (2021); Twitter: Number of Employees 2019, Statista, (2021); Encyclopedia Britannica, (2020); The Commons, an Intervention to Depolarize Political Conversations on Twitter and Facebook in the USA, 2019 Report, Build Up, (2020); Tufekci Z., Twitter and Teargas, (2017); Vaidhyanathan S., Antisocial Media: How FAcebook Disconnects Us and Undermines Democracy, (2018); Valens A., Mastodon Is Crumbling-And Many Blame Its Creator, The Daily Dot, (2019); Van Dijck J., Poell T., De Waal M., The Platform Society: Public Values in A Connective World, (2019); Wong Q., Facebook Content Moderation Is an Ugly Business. Here’s Who Does It, CNET, (2019); Wright L., Twitter Bans Religious Dehumanization, Dangerous Speech Project, (2019); Yowlen, Fedilab, Librem Social Supports the Pushing Out of Marginalized Groups -Apps -F-Droid Forum, F-Droid Forums, (2019)","","","Springer International Publishing","","","","","","","978-303079072-1; 978-303079071-4","","","English","Fundamental Challenges to Global Peace and Security: The Future of Humanity","Book chapter","Final","","Scopus","2-s2.0-85144169511"
"Huang T.","Huang, Tao (58409389200)","58409389200","Decentralized social networks and the future of free speech online","2024","Computer Law and Security Review","55","","106059","","","","0","10.1016/j.clsr.2024.106059","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205241267&doi=10.1016%2fj.clsr.2024.106059&partnerID=40&md5=0b3c94a655f1b01649f8aa95e50bcf32","City University of Hong Kong, Hong Kong","Huang T., City University of Hong Kong, Hong Kong","Decentralized social networks like Mastodon and BlueSky are trending topics that have drawn much attention and discussion in recent years. By devolving powers from the central node to the end users, decentralized social networks aim to cure existing pathologies on the centralized platforms and have been viewed by many as the future of the Internet. This article critically and systematically assesses the decentralization project's prospect for communications online. It uses normative theories of free speech to examine whether and how the decentralization design could facilitate users’ freedom of expression online. The analysis shows that both promises and pitfalls exist, highlighting the importance of value-based design in this area. Two most salient issues for the design of the decentralized networks are: how to balance the decentralization ideal with constant needs of centralization on the network, and how to empower users to make them truly capable of exercising their control. The article then uses some design examples, such as the shared blocklist and the opt-in search function, to illustrate the value considerations underlying the design choices. Some tentative proposals for law and policy interventions are offered to better facilitate the design of the new network. Rather than providing clear answers, the article seeks to map the value implications of the design choices, highlight the stakes, and point directions for future research. © 2024","Bluesky; Decentralized social networks; Fediverse; Free speech; Mastodon; Value-based design","Bluesky; Decentralisation; Decentralised; Decentralized social network; Fediverse; Free speech; Mastodon; Network likes; Value-based; Value-based design","","","","","City University of Hong Kong, CityU, (7200786)","The work described in this paper was fully supported by a grant from City University of Hong Kong (Project No. 7200786).","Gehl R., Alternative social media: from critique to code, The sage handbook of social media, (2018); Ricknell E., Freedom of Expression and Alternatives for Internet Governance: Prospects and Pitfalls, Media and Communication, 8, 4, pp. 110-120, (2020); Graber J.; (2020); Zia H., Raman A., Castro I., Hassan Anaobi I., De Cristofaro E., Sastry N., Et al., Toxicity in the decentralized web and the potential for model sharing, Proc ACM Meas Anal Comput Syst, 6, 2, pp. 1-25, (2022); Marx J., Cheong M.; Cohn C., Mir R., The fediverse could be awesome (If we don't screw it up), (2022); Zulli D., Liu M., Gehl R., Rethinking the “social” in “social media”: insights into topology, abstraction, and scale on the Mastodon social network, New Media Soc, 22, 7, pp. 1188-1205, (2020); Mannell K., Smith E.T., Alternative social media and the complexities of a more participatory culture: a view from Scuttlebutt, 8, pp. 1-11, (2022); Masnick M., Masnick's impossibility theorem: content moderation at scale is impossible to do well, (2019); Caelin D., Decentralized networks vs the trolls, Fundamental challenges to global peace and security, pp. 143-168, (2022); Rozenshtein A.Z., Moderating the fediverse: content moderation on distributed social media, J Free Speech Law, 3, 1, pp. 217-236, (2023); Roscam Abbing R., Diehm C., Warreth S., Decentralised social media, Internet Policy Rev, 12, 1, pp. 1-11, (2023); Gillespie T., Custodians of the internet: platforms, content moderation, and the hidden decisions that shape social media, (2018); Obar J., Wildman S., Social media definition and the governance challenge: an introduction to the special issue, Telecomm Policy, 39, 9, pp. 745-750, (2015); Dijck J., The culture of connectivity: a critical history of social media, (2013); (2017); Mathew A.J., The myth of the decentralised internet, Internet Policy Rev, 5, 3, pp. 1-16, (2016); Fukuyama F., Richman B., Goel A., Katz R.R., Melamed A.D., Schaake M., Report of the working group on platform scale, pp. 1-45, (2020); Fukuyama F., Richman B., Goel A., Katz R.R., Melamed A.D., Schaake M., Middleware for dominant digital platforms: a technological solution to a threat to democracy, pp. 1-13, (2021); Stasi M.L., Unbundling hosting and content curation on social media platforms: between opportunities and challenges, J Law Technol, 28, 2, pp. 138-174, (2023); Guadamuz A.; Raman A., Joglekar S., Cristofaro E.D., Sastry N., Tyson G., Challenges in the decentralised web, Proceedings of the internet measurement conference, pp. 217-229, (2019); Dhawan S., Hegelich S., Sindermann C., Montag C., Re-start social media, but how?, Telemat Inform Rep, 8, pp. 1-7, (2022); Shilina S.; Graber J.; Freni P., Fixing social media with the blockchain: make the user great again, (2019); Hisseine M.A., Chen D., Yang X., The application of blockchain in social media: a systematic literature review, Appl Sci, 12, 13, (2022); Raso F., Et al.; Helberger N., Et al., Choice architectures in the digital economy: towards a new understanding of digital vulnerability, J Consum Policy (Dordr), 45, pp. 175-200, (2022); Boehm B., Value-based software engineering, ACM SIGSOFT Softw Eng Notes, 28, 2, pp. 1-11, (2023); Borning A., Muller M., Next steps for value sensitive design, Proceedings of the CHI ’12: SIGCHI conference on human factors in computing systems, pp. 1125-1134, (2012); Bernstein M.S., Christin A., Hancock J.T., Hashimoto T., Jia C., Lam M., Et al., Embedding societal values into social media algorithms, J Online Trust Saf, 2, 1, pp. 1-13, (2023); (2023); Poel I., Chapter 20: translating values into design requirements, Philosophy and engineering: reflections on practice, principles and process, pp. 253-265, (2013); Napoli P.M., What if more speech is no longer the solution? 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Rev.","Article","Final","All Open Access; Green Open Access; Hybrid Gold Open Access","Scopus","2-s2.0-85205241267"
"Kögler M.; Paulick K.; Scheffran J.; Birkholz M.","Kögler, Martin (54794153300); Paulick, Katharina (57191978006); Scheffran, Jürgen (6603132062); Birkholz, Mario (7003908185)","54794153300; 57191978006; 6603132062; 7003908185","Sustainable use of a smartphone and regulatory needs","2024","Sustainable Development","32","6","","6182","6200","18","1","10.1002/sd.2995","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192197650&doi=10.1002%2fsd.2995&partnerID=40&md5=27442df1489bc0438cb34ddc30bbbdc3","VTT Technical Research Centre of Finland, Oulu, Finland; MINAUTICS GmbH, Berlin, Germany; Institute of Geography, Universität Hamburg, CLISEC, CEN, Hamburg, Germany; IHP–Leibniz-Institut für innovative Mikroelektronik, Frankfurt (Oder), Germany; Technische Universität Berlin, Berlin, Germany","Kögler M., VTT Technical Research Centre of Finland, Oulu, Finland; Paulick K., MINAUTICS GmbH, Berlin, Germany; Scheffran J., Institute of Geography, Universität Hamburg, CLISEC, CEN, Hamburg, Germany; Birkholz M., IHP–Leibniz-Institut für innovative Mikroelektronik, Frankfurt (Oder), Germany, Technische Universität Berlin, Berlin, Germany","The significance of information and communication technologies (ICT) for the Paris Climate Agreement is continuously increasing because of its growing energy consumption. Here we examine the question for the smartphone and extend the investigation to more aspects of sustainability. Critical issues are identified for ten UN Sustainable Development Goals. Measurements of smartphone energy consumption show that a significant savings potential can be unlocked by reducing the data outflow and the large amount of personal data stored in data centers. Main discrepancies are also traced to the oligopolistic market structure of operating systems (OSs), messenger services, and social media apps. Technical means for a sustainable smartphone use are suggested as alternative OSs, social media channels of the Fediverse, as well as free and open-source software. Finally, societal conditions are emphasized to make the market for OSs and apps more diverse so that a sustainable smartphone use can generally prevail. © 2024 The Authors. Sustainable Development published by ERP Environment and John Wiley & Sons Ltd.","alternative mobile operating system; custom ROM; Fediverse; FOSS; information and communication technologies (ICT); smartphone","energy use; information and communication technology; mobile phone; social media; software; sustainability; Sustainable Development Goal","","","","","","","Agrawal D., Zhang C., Kettinger W.J., Adeli A.M., Spy it before you try it: Intrinsic cues and open data app adoption, Communications of the Association for Information Systems, 50, pp. 554-575, (2022); Facebook Shadow Profiles (February 2022). DIW Berlin Discussion Paper No. 1998, 2022; Altpeter B., Informed consent? 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Abgerufen von Our World in Data—CO₂ and Greenhouse Gas Emissions, (2020); Rosen S., Nikravesh A., Guo Y., Mao M., Qian F., Sen S., Revisiting network energy efficiency of Mobile apps: Performance in the wild, (2015); Ruzzenenti F., Font Vivanco D., Galvin R., Sorrell S., Wagner A., Walnum H.J., Editorial: The rebound effect and the Jevons' paradox: Beyond the conventional wisdom, Frontiers in Energy Research, 7, (2019); Schallenberger L., Ich habe mir alle Daten besorgt, die Google über mich hat—Sie sind noch viel intimer als ich befürchtet hatte, Business Insider, (2022); Scheffran J., Limits to the Anthropocene: Geopolitical conflict or cooperative governance?, Frontiers in Political Science, 5, (2023); Scheffran J., Felkers M., Froese R., Economic growth and the global energy demand, Green energy to sustainability, pp. 1-44, (2020); Scholten T., van der Niet S., Nieuwenhuijse I., Vendrik J., Energiegebruik 5G-netwerk, (2020); Lean ICT: Towards digital sobriety, (2019); Gewinn von Apple bis 2022, (2023); Su J., Confirmed: Apple caught in Siri privacy scandal, let contractors listen to private voice recordings, (2019); TaheriNejad N., Perego P., Rahmani A.M., Mobile health technology: From daily care and pandemics to their energy consumption and environmental impact, Mobile Networks and Applications, 27, pp. 652-656, (2022); Takara K., Batterygate: An ethical analysis of Apple's infamous multimillion Dollar mistake (California State University), (2023); Takeno K., Ichimura M., Takano K., Yamaki J., Influence of cycle capacity deterioration and storage capacity deterioration on Li-ion batteries used in mobile phones, Journal of Power Sources, 142, pp. 298-305, (2005); Tayhan Kartal F., Yabanci Ayhan N., Relationship between eating disorders and internet and smartphone addiction in college students, Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, 26, pp. 1853-1862, (2021); Testa S., Troise C., Cincotti S., Camilleri M.A., The role of electronic waste management solu-tions and message framing in influencing consumer behaviours: Exploring the crowdfunding context, Business Strategy and the Environment, 33, 2, pp. 917-929, (2024); Twenge J.M., Haidt J., Lozano J., Cummins K.M., Specification curve analysis shows that social media use is linked to poor mental health, especially among girls, Acta Psychologica, 224, (2022); Twenge J.M., Martin G.N., Campbell W.K., Decreases in psychological well-being among American adolescents after 2012 and links to screen time during the rise of smartphone technology, Emotion, 18, pp. 765-780, (2018); Tzvetanov K., Karabiyik U., A first look at forensic analysis of sailfish OS, Computers & Security, 99, (2020); Uijttewaal M., Bergsma G., Scholten T., Carbon footprint of unwanted data-use by smartphones—An analysis for the EU, (2021); Emissions gap report 2022, (2022); Urban T., Degeling M., Holz T., Pohlmann N., Beyond the front page: Measuring third party dynamics in the field, Proceedings of the web conference 2020, pp. 1275-1286, (2020); Usman M., Breaking up big tech: Lessons from AT&T, University of Pennsylvania Law Review, 170, (2021); Vallina-Rodriguez N., Sundaresan S., Razaghpanah A., Nithyanand R., Allman M., Kreibich C., Gill P., Tracking the trackers: Towards understanding the Mobile advertising and tracking ecosystem, (2016); Vetter V., Novak P., Wagner M.R., Veit C., Moller K.-C., Besenhard J.O., Hammouche A., Ageing Mechanisms in Lithium-Ion Batteries, Journal of Power Sources, 147, pp. 269-281, (2005); Wieser H., Troger N., Exploring the inner loops of the circular economy: Replacement, repair, and reuse of mobile phones in Austria, Journal of Cleaner Production, 172, pp. 3042-3055, (2018); List of countries by government budget, (2023); Williams L., Sovacool B.K., Foxon T.J., The energy use implications of 5G: Reviewing whole network operational energy, embodied energy, and indirect effects, Renewable and Sustainable Energy Reviews, 157, (2022); ActivityPub W3C recommendation 23 January 2018, (2018); Mobile cellular subscriptions (per 100 people)—World, (2023); Wrobel-Dudzinska D., Osial N., Stepien P.W., Gorecka A., Zarnowski T., Prevalence of dry eye symptoms and associated risk factors among university students in Poland, International Journal of Environmental Research and Public Health, 20, (2023); Wylie C., MINDF*CK-Inside Cambridge Analytica's Plot to Break the World, (2019); Zuboff S., The age of surveillance capitalism: The fight for a human future at the new frontier of power, (2019)","M. Kögler; VTT Technical Research Centre of Finland, Oulu, Kaitoväylä 1, 90590, Finland; email: martin.kogler@vtt.fi; M. Birkholz; IHP–Leibniz-Institut für innovative Mikroelektronik, Frankfurt (Oder), Im Technologiepark 25, 15236, Germany; email: birkholz@ihp-microelectronics.com","","John Wiley and Sons Ltd","","","","","","09680802","","","","English","Sustainable Dev.","Article","Final","All Open Access; Hybrid Gold Open Access","Scopus","2-s2.0-85192197650"
"Bin Zia H.; Raman A.; Castro I.; Hassan Anaobi I.; De Cristofaro E.; Sastry N.; Tyson G.","Bin Zia, Haris (57204212995); Raman, Aravindh (57190405201); Castro, Ignacio (54891848000); Hassan Anaobi, Ishaku (57677967500); De Cristofaro, Emiliano (17433897300); Sastry, Nishanth (25930132500); Tyson, Gareth (25960456600)","57204212995; 57190405201; 54891848000; 57677967500; 17433897300; 25930132500; 25960456600","Toxicity in the Decentralized Web and the Potential for Model Sharing","2022","Performance Evaluation Review","50","1","","15","16","1","0","10.1145/3489048.3530968","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133964690&doi=10.1145%2f3489048.3530968&partnerID=40&md5=a14c8cfc922d93400eb496f89c95b0f9","Queen Mary University of London, London, United Kingdom; Telefonica Research, Barcelona, Spain; University College London, London, United Kingdom; University of Surrey, Surrey, United Kingdom; Hong Kong University of Science & Technology, Hong Kong, Hong Kong","Bin Zia H., Queen Mary University of London, London, United Kingdom; Raman A., Telefonica Research, Barcelona, Spain; Castro I., Queen Mary University of London, London, United Kingdom; Hassan Anaobi I., Queen Mary University of London, London, United Kingdom; De Cristofaro E., University College London, London, United Kingdom; Sastry N., University of Surrey, Surrey, United Kingdom; Tyson G., Hong Kong University of Science & Technology, Hong Kong, Hong Kong","The ""Decentralised Web""(DW) is an evolving concept, which encompasses technologies aimed at providing greater transparency and openness on the web. The DW relies on independent servers (aka instances) that mesh together in a peer-to-peer fashion to deliver a range of services (e.g. micro-blogs, image sharing, video streaming). However, toxic content moderation in this decentralised context is challenging. This is because there is no central entity that can define toxicity, nor a large central pool of data that can be used to build universal classifiers. It is therefore unsurprising that there have been several high-profile cases of the DW being misused to coordinate and disseminate harmful material. Using a dataset of 9.9M posts from 117K users on Pleroma (a popular DW microblogging service), we quantify the presence of toxic content. We find that toxic content is prevalent and spreads rapidly between instances. We show that automating per-instance content moderation is challenging due to the lack of sufficient training data available and the effort required in labelling. We therefore propose and evaluate ModPair, a model sharing system that effectively detects toxic content, gaining an average per-instance macro-F1 score 0.89.  © 2022 Owner/Author.","content moderation; decentralised web; pleroma; toxicity analysis","Content moderation; Decentralised; Decentralized web; Image sharing; Micro-blog; Model sharing; Peer-to-peer fashion; Pleroma; Toxicity analyse; Video-streaming; Toxicity","","","","","Horizon 2020 Framework Programme, H2020, (830927, 101016509)","","Decentralized Social Media Platform Mastodon Deals with An Influx of Gab Users, (2019); Why Free Speech On-the Internet Isn't Free for All, (2021); Perspective API, (2022); Diaspora, (2010); Ishaku Hassan A., Raman A., Castro I., Bin Zia H., De Cristofaro E., Sastry N., Tyson G., Exploring content moderation in the decentralised web: The pleroma case, Proceedings of the 17th International Conference on Emerging Networking EXperiments and Technologies, (2021); Mastodon, (2016); PeerTube, (2018); Pleroma, (2016); Raman A., Joglekar S., De Cristofaro E., Sastry N., Tyson G., Challenges in the Decentralised Web: The Mastodon Case, Proceedings of the Internet Measurement Conference, (2019); Satariano A., Facebook Hearing Strengthens Calls for Regulation in Europe, (2021); Zannettou S., Bradlyn B., De Cristofaro E., Kwak H., Sirivianos M., Stringini G., Blackburn J., What is gab: A bastion of free speech or an alt-right echo chamber, Companion Proceedings of the the Web Conference 2018, pp. 1007-1014, (2018)","","","Association for Computing Machinery","","","","","","01635999","","PERED","","English","Perform Eval Rev","Conference paper","Final","All Open Access; Green Open Access","Scopus","2-s2.0-85133964690"
"Roscam Abbing R.; Gehl R.W.","Roscam Abbing, Roel (57871890700); Gehl, Robert W. (25957999800)","57871890700; 25957999800","Shifting your research from X to Mastodon? Here's what you need to know","2024","Patterns","5","1","100914","","","","2","10.1016/j.patter.2023.100914","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181939163&doi=10.1016%2fj.patter.2023.100914&partnerID=40&md5=113d2168941d1d87b6400284876a9e55","Malmö University, Malmö, Sweden; York University, Toronto, ON, Canada","Roscam Abbing R., Malmö University, Malmö, Sweden; Gehl R.W., York University, Toronto, ON, Canada","Since Elon Musk's purchase of Twitter/X and subsequent changes to that platform, computational social science researchers may be considering shifting their research programs to Mastodon and the fediverse. This article sounds several notes of caution about such a shift. We explain key differences between the fediverse and X, ultimately arguing that research must be with the fediverse, not on it. © 2023 The Author(s)","","","","","","","","","Frantze A.S., Bechmann A., Zimmer M., Ess C., Internet Research: Ethical Guidelines 3.0, (2019); Ess C., Ethical decision-making and Internet research: Recommendations from the aoir ethics working committee (Association for Internet Researchers), (2002); Nissenbaum H., Privacy as Contextual Integrity, Wash. Law Rev., 79, (2004); Cadwalladr C., Graham-Harrison E., Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach, (2018); Kramer A.D.I., Guillory J.E., Hancock J.T., Experimental evidence of massive-scale emotional contagion through social networks, Proc. Natl. Acad. Sci. USA, 111, pp. 8788-8790, (2014); Zignani M., Quadri C., Galdeman A., Gaito S., Rossi G.P., Mastodon Content Warnings: Inappropriate Contents in a Microblogging Platform, Proceedings of the International AAAI Conference on Web and Social Media, 13, pp. 639-645, (2019); Open Letter from the Mastodon Community, (2020); Gehl R.W., More Mastodon Scraping Without Consent (Notes on Nobre et al 2022), (2022); Nobre G.P., Ferreira C.H.G., Almeida J.M., More of the Same? A Study of Images Shared on Mastodon's Federated Timeline, Social Informatics, pp. 181-195, (2022); Ford K.L., Albritton T., Dunn T.A., Crawford K., Neuwirth J., Bull S., Youth Study Recruitment Using Paid Advertising on Instagram, Snapchat, and Facebook: Cross-Sectional Survey Study, JMIR Public Health Surveill., 5, (2019); Abbing R.R., what does toot:indexable mean for academic research on the fediverse? roelroscamabbing.nl - the premier resource for “roel roscam abbing” on the web!, (2023)","R.W. Gehl; York University, Toronto, Canada; email: rwg@yorku.ca","","Cell Press","","","","","","26663899","","","","English","Patterns","Note","Final","All Open Access; Gold Open Access; Green Open Access","Scopus","2-s2.0-85181939163"
"Cerisara C.; Jafaritazehjani S.; Oluokun A.; Le H.T.","Cerisara, Christophe (6506781029); Jafaritazehjani, Somayeh (57219459112); Oluokun, Adedayo (57219460018); Le, Hoa T. (57211168705)","6506781029; 57219459112; 57219460018; 57211168705","Multi-task dialog act and sentiment recognition on Mastodon","2018","COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings","","","","745","754","9","54","","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119411340&partnerID=40&md5=915d8bf533529b00b6106016d85ddc7a","Université de Lorraine, CNRS, LORIA, Nancy, F-54000, France","Cerisara C., Université de Lorraine, CNRS, LORIA, Nancy, F-54000, France; Jafaritazehjani S., Université de Lorraine, CNRS, LORIA, Nancy, F-54000, France; Oluokun A., Université de Lorraine, CNRS, LORIA, Nancy, F-54000, France; Le H.T., Université de Lorraine, CNRS, LORIA, Nancy, F-54000, France","Because of license restrictions, it often becomes impossible to strictly reproduce most research results on Twitter data already a few months after the creation of the corpus. This situation worsened gradually as time passes and tweets become inaccessible. This is a critical issue for reproducible and accountable research on social media. We partly solve this challenge by annotating a new Twitter-like corpus from an alternative large social medium with licenses that are compatible with reproducible experiments: Mastodon. We manually annotate both dialogues and sentiments on this corpus, and train a multi-task hierarchical recurrent network on joint sentiment and dialog act recognition. We experimentally demonstrate that transfer learning may be efficiently achieved between both tasks, and further analyze some specific correlations between sentiments and dialogues on social media. Both the annotated corpus and deep network are released with an open-source license. © 2018 COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. All rights reserved.","","Computational linguistics; Critical issues; Dialog acts; Multi tasks; Open source license; Recurrent networks; Research results; Social media; Transfer learning; Social networking (online)","","","","","Lorraine Université d’Excellence; Agence Nationale de la Recherche, ANR","The authors thank the “Programme d’Investissements d’Avenir” of the French government, the French National Research Agency (ANR) and the Lorraine Université d’Excellence (LUE) initiative for funding. Experiments presented in this paper were carried out using the Grid’5000 testbed, supported by a scientific interest group hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations (see https://www.grid5000.fr).","Bethard Steven, Carpuat Marine, Apidianaki Marianna, Mohammad Saif M., Cer Daniel, Jurgens David, Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), (2017); Boyer Kristy, Grafsgaard Joseph, Ha Eun Young, Phillips Robert, Lester James, An affect-enriched dialogue act classification model for task-oriented dialogue, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp. 1190-1199, (2011); Bunt Harry, Petukhova Volha, Traum David, Alexandersson Jan, Dialogue act annotation with the iso 24617-2 standard, Multimodal Interaction with W3C Standards, pp. 109-135, (2017); Clavel Chlo, Callejas Zoraida, Sentiment analysis: from opinion mining to human-agent interaction, IEEE Transactions on Affective Computing, pp. 74-93, (2016); Core Mark G, Allen James, Coding dialogs with the damsl annotation scheme, AAAI fall symposium on communicative action in humans and machines, 56, (1997); Forsythand Eric N, Martell Craig H, Lexical and discourse analysis of online chat dialog, Semantic Computing, 2007. ICSC 2007. International Conference on, pp. 19-26, (2007); Herzig Jonathan, Feigenblat Guy, Shmueli-Scheuer Michal, Konopnicki David, Rafaeli Anat, Altman Daniel, Spivak David, Classifying emotions in customer support dialogues in social media, SIGDIAL Conference, pp. 64-73, (2016); Kim Minkyoung, Kim Harksoo, Integrated neural network model for identifying speech acts, predicators, and sentiments of dialogue utterances, Pattern Recognition Letters, (2018); Nakov Preslav, Ritter Alan, Rosenthal Sara, Sebastiani Fabrizio, Stoyanov Veselin, Evaluation measures for the semeval-2016 task 4: Sentiment analysis in twitter (draft: Version 1.12), Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), (2016); Novielli Nicole, Strapparava Carlo, The role of affect analysis in dialogue act identification, IEEE Transactions on Affective Computing, pp. 439-451, (2013); Pluwak Agnieszka Magdalena, Towards application of speech act theory to opinion mining, Cognitive Studies, pp. 33-44, (2016); Ritter Alan, Cherry Colin, Dolan Bill, Unsupervised modeling of twitter conversations, Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 172-180, (2010); Sordoni Alessandro, Bengio Yoshua, Vahabi Hossein, Lioma Christina, Simonsen Jakob Grue, Nie Jian-Yun, A hierarchical recurrent encoder-decoder for generative context-aware query suggestion, Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp. 553-562, (2015); Thelwall M., Buckley K., Paltoglou G., Sentiment strength detection for the social web, Journal of the American Society for Information Science and Technology, pp. 163-173, (2012); Thelwall M., Sud P., Vis F., Commenting on YouTube videos: From Guatemalan rock to El Big Bang, Journal of the American Society for Information Science and Technology, pp. 616-629, (2012); Vosoughi Soroush, Roy Deb, Tweet acts: A speech act classifier for twitter, (2016); Zarisheva Elina, Scheffler Tatjana, Dialog act annotation for twitter conversations, SIGDIAL Conference, pp. 114-123, (2015)","","Bender E.M.; Derczynski L.; Isabelle P.","Association for Computational Linguistics (ACL)","Amazon Alexa; Baidu; Disney Research; et al.; Lenovo; Linguist List","27th International Conference on Computational Linguistics, COLING 2018","20 August 2018 through 26 August 2018","Santa Fe","172932","","978-194808750-6","","","English","COLING - Int. Conf. Comput. Linguist., Proc.","Conference paper","Final","","Scopus","2-s2.0-85119411340"
"Lister P.","Lister, Pen (57218311014)","57218311014","Opening up Smart Learning Cities - Building Knowledge, Interactions and Communities for Lifelong Learning and Urban Belonging","2023","Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","14037 LNCS","","","67","85","18","2","10.1007/978-3-031-34609-5_5","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173010412&doi=10.1007%2f978-3-031-34609-5_5&partnerID=40&md5=6d6df3710da5f5ee98c71af4540f5bd5","University of Malta, MSD, Msida, 2080, Malta","Lister P., University of Malta, MSD, Msida, 2080, Malta","This paper revisits issues arising from prior research carried out by the author examining citizen informal learning through interactions with the real world via augmented reality interfaces triggering place based knowledge. Topics discussed in this paper were not part of the research yet deserve further discussion in that context. Two areas are of particular interest: place based digital knowledge content delivery and user generated content related to place. In other words, how users might freely and easily access knowledge content that relates to features and places they pass through or live in, and how they might digitally interact with their local environment to contribute to a community of memory associated with place [29, 30, 39]. This compiling of the knowledge archive of place, both expert and citizen generated, might be described as the reading and writing of the city, somewhat like [26] or [19], reflecting ideas going back to the Berkeley Community Memory bulletin-boards of the 1970s [7]. Discussion includes the concept of community mapping, briefly examining examples from literature and a prototype, the ‘Learner Feedback Map’, developed by the author but not used in the final research. The challenges of finding and delivering knowledge content, and of uploading and hosting user-generated content are briefly considered in the context of decentralised networks and the Fediverse. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.","Community Mapping; Fediverse; Linked Open Data; OER; UGC; User-Generated Content","Augmented reality; Linked data; Open Data; Community mapping; Fediverse; Knowledge content; Knowledge interaction; Linked open datum; OER; Place-based; UGC; User-generated; User-generated content; Mapping","","","","","","","Badita F., Changing the world of Publishing-Creating an Open Graph Standard, Medium, (2016); Bergum S., This city is an archive: Squatting history and urban authority, J. Urban Hist., 48, 3, pp. 504-522, (2022); Boy J., Smart Enough or Too Smart? Territorial Platforms, Social Reproduction, and the Limits to Digital Circuits of Dispossession, Eighth Workshop on Computing within Limits, 22, (2022); Capadisli S., Linked Research on the Decentralised Web, (2020); Capadisli S., Guy A., Lange C., Auer S., Sambra A., Berners-Lee T., Linked data notifications: A resource-centric communication protocol, ESWC 2017. LNCS, Vol. 10249, pp. 537-553, (2017); Carpenter T., Article Sharing Framework: Facilitating Scholarly Sharing through Metadata. the Scholarly Kitchen, (2021); Carroll J.M., Et al., The internet of places at community-scale: Design scenarios for hyperlocal neighborhood, Enriching Urban Spaces with Ambient Computing, the Internet of Things, and Smart City Design, pp. 1-24, (2017); Daga E., Et al., Integrating citizen experiences in cultural heritage archives: Requirements, state of the art, and challenges, Journal on Computing and Cultural Heritage, 15, 1, pp. 1-35, (2022); de Certeau M., The Practice of Everyday Life, (1984); Dinler M., Counter-mapping through digital tools as an approach to urban history: Investigating the spatial condition of activism, Sustainability, 13, 16, (2021); Dulong de Rosnay M., Musiani F., Alternatives for the internet: A journey into decentralised network architectures and information commons, Triplec: Communication, Capitalism & Critique, 18, 2, pp. 622-629, (2020); Duxbury N., Redaelli E., Cultural Mapping. Oxford Bibliographies, (2020); Findlay C., Participatory cultures, trust technologies and decentralisation: Innovation opportunities for recordkeeping, Archives and Manuscripts, 45, 3, pp. 176-190, (2017); Girardin F., Blat J., Calabrese F., Dal Fiore F., Ratti C., Digital footprinting: Uncovering tourists with user-generated content, Pervasive Comput, 7, 4, pp. 36-43, (2008); Gyrard A., Patel P., Sheth A.P., Serrano M., Building the web of knowledge with smart IoT applications, IEEE Intell. Syst., 31, 5, pp. 83-88, (2016); Haklay M., Beyond Quantification, We Need a Meaningful Smart City. Urban Pamphleteer. University College London, (2013); Hart L., Bardoli J., How Automated Content Tagging Improves Findability, (2020); Hauthal E., Burghardt D., Mapping space-related emotions out of user-generated photo metadata considering grammatical issues, Cartogr. J., 53, 1, pp. 78-90, (2016); Hetherington K., Rhythm and noise: The city, memory and the archive, Sociol. Rev., 61, 1, pp. 17-33, (2013); Hillerbrand E., Semantic web and business: Reaching a tipping point?, Workman, M, pp. 213-229, (2016); Hu X., Ng J., Xia S., User-centered evaluation of metadata schema for non-movable cultural heritage: Murals and stone cave temples, J. Am. Soc. Inf. Sci., 69, 12, pp. 1476-1487, (2018); News I.B.L., Edmodo.com Will Shut Down Its Platform and Service on September 22, IBL News, (2022); Jansson I.-M., Organization of user-generated information in image collections and impact of rhetorical mechanisms, Knowl. Organ., 44, 7, pp. 515-528, (2017); Jones P., Layard A., Lorne C., Speed C., Localism, neighbourhood planning and community control: The MapLocal pilot, After Urban Regeneration: Communities, Policy and Place, pp. 165-179, (2015); Jones P., Layard A., Speed C., Lorne C., (2013); Jordan S., Writing the smart city: “relational space” and the concept of “belonging, Writing in Practice: Journal of Creative Writing Research, 1, 1, (2015); Keck H., Heck T., Improving tagging literacy to enhance metadata and retrieval for open educational resources, Proceedings of the Conference on Learning Information Literacy across the Globe, (2019); Kim H., Breslin J., Choi J.H., Semantic representation for copyright metadata of user-generated content in folksonomies, Online Inf. Rev., 34, 4, pp. 626-641, (2010); Kinsley S., Memory programmes: The industrial retention of collective life, Cultural Geographies, 22, 1, pp. 155-175, (2015); Kitchin R., The timescape of smart cities, Ann. Am. Assoc. Geogr., 109, 3, pp. 775-790, (2019); Kop R., The unexpected connection: Serendipity and human mediation in networked learning, Educ. Technol. Soc., 15, 2, pp. 2-11, (2012); Lelesius G., Improving Resilience of ActivityPub Services. Undergraduate Dissertation, Computer Science Tripos – Part, 2, (2022); Lister P., Ways of experiencing technology in a smart learning environment, Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-Being and Health, Art and Creativity. HCII 2022. LNCS, Vol, (2022); Lister P., The pedagogy of experience complexity for smart learning: Considerations for designing urban digital citizen learning activities, Smart Learning Environ, 8, 1, pp. 1-18, (2021); Lister P.J., A smarter knowledge commons for smart learning, Smart Learning Environ, 5, 1, pp. 1-15, (2018); Lundemo T., Mapping the world: Les archives de la planète and the mobilization of memory, Memory in Motion Archives, Technology, and the Social, (2017); Martin P., Magagna B., Liao X., Zhao Z., Semantic linking of research infrastructure metadata, Towards Interoperable Research Infrastructures for Environmental and Earth Sciences. LNCS, Vol. 12003, pp. 226-246, (2020); McKenna H., Rethinking learning in the smart city: Innovating through involvement, inclusivity, and interactivities with emerging technologies, Smarter as the New Urban Agenda. PAIT, 11, pp. 87-107, (2016); McKenna H.P., Human-smart environment interactions in smart cities: Exploring dimension-alities of smartness, Future Internet, 12, (2019); McKenna H.P., Chauncey S., Taking learning to the city: An exploration of the frictionless learning environment innovation, Proceedings of EDULEARN14 Conference, (2014); Morville P., Ambient Findability, (2005); Palmer J.M., The resonances of public art: Thoughts on the notion of co-productive acts and public art, Urban Public Art: Geographies of Co-Production: City & Society, 30, 1, pp. 68-88, (2018); Perkins C., Community Mapping. Oxford Bibliographies, (2018); Pospelova P., Schema Markup in University Websites. Deleted Agency, (2014); Renjifo D., Inventor of the World Wide Web Wants Us to Reclaim Our Data from Tech Giants, (2023); Reznik T., Et al., Improving the documentation and findability of data services and repositories: A review of (meta) data management approaches, Comput. Geosci., 169, (2022); Roberts L., Navigating the ‘archive city’: Digital spatial humanities and archival film practice, Convergence: the International Journal of Research into New Media Technologies, 21, 1, pp. 100-115, (2015); Spencer A., What in the world is ambient literature?, The Writing Platform, (2017); Srnicek N., Platform Capitalism, (2017); Tlili A., Et al., Towards utilising emerging technologies to address the challenges of using open educational resources: A vision of the future, Educ. Technol. Res. Dev., 69, 2, pp. 515-532, (2021); van Hooland S., Mendez Rodriguez E., Boydens I., Between commodification and engagement: On the double-edged impact of user-generated metadata within the cultural heritage sector, Libr. Trends, 59, 4, pp. 707-720, (2011); Zouaq A., Jovanovic J., Joksimovic S., Gasevic D., Linked data for learning analytics: Potentials and challenges, Lang, C., Siemens, G., Wise, A., Gašević, D. (Eds.) Handbook of Learning Analytics, 1St Edn., Pp. 347–355. Society for Learning Analytics Research (Solar), (2017)","P. Lister; University of Malta, Msida, MSD, 2080, Malta; email: pen.lister@penworks.net","Streitz N.A.; Konomi S.","Springer Science and Business Media Deutschland GmbH","","11th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023","23 July 2023 through 28 July 2023","Copenhagen","297869","03029743","978-303134608-8","","","English","Lect. Notes Comput. Sci.","Conference paper","Final","","Scopus","2-s2.0-85173010412"
"Jeong U.; Nirmal A.; Jha K.; Tang S.X.; Bernard H.R.; Liu H.","Jeong, Ujun (57224982620); Nirmal, Ayushi (58621469500); Jha, Kritshekhar (58141593900); Tang, Susan Xu (57212464119); Bernard, H. Russell (7103326385); Liu, Huan (7409751811)","57224982620; 58621469500; 58141593900; 57212464119; 7103326385; 7409751811","User Migration across Multiple Social Media Platforms","2024","Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024","","","","436","444","8","2","","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193479484&partnerID=40&md5=f1d1cfbbbb018611d94eaf5b91210092","School of Computing and Augmented Intelligence, Arizona State University, United States; Department of Economics, W. P. Carey School of Business, Arizona State University, United States; Institute for Social Science Research, Arizona State University, United States","Jeong U., School of Computing and Augmented Intelligence, Arizona State University, United States; Nirmal A., School of Computing and Augmented Intelligence, Arizona State University, United States; Jha K., School of Computing and Augmented Intelligence, Arizona State University, United States; Tang S.X., Department of Economics, W. P. Carey School of Business, Arizona State University, United States; Bernard H.R., Institute for Social Science Research, Arizona State University, United States; Liu H., School of Computing and Augmented Intelligence, Arizona State University, United States","After Twitter's ownership change and policy shifts, many users reconsidered their go-to social media outlets and platforms like Mastodon, Bluesky, and Threads became attractive alternatives in the battle for users. Based on the data from over 14,000 users who migrated to these platforms within the first eight weeks after the launch of Threads, our study examines: (1) distinguishing attributes of Twitter users who migrated, compared to non-migrants; (2) temporal migration patterns and associated challenges for sustainable migration faced by each platform; and (3) how these new platforms are perceived in relation to Twitter. Our research proceeds in three stages. First, we examine migration from a broad perspective, not just one-to-one migration. Second, we leverage behavioral analysis to pinpoint the distinct migration pattern of each platform. Last, we employ a Large Language Model (LLM) to discern stances towards each platform and correlate them with the platform usage. This in-depth analysis illuminates migration patterns amid competition across social media platforms. Copyright © 2024 by SIAM.","Bluesky; Mastodon; Platform Migration; Threads; Twitter; User Behavior Study","Data mining; Social networking (online); Behavior studies; Bluesky; Mastodon; Migration patterns; Platform migration; Social media platforms; Thread; Twitter; User behavior study; User behaviors; Behavioral research","","","","","Office of Naval Research, ONR, (N00014-21-1-4002); Office of Naval Research, ONR","This work received support from the Office of Naval Research, under Award No. N00014-21-1-4002. Opinions, interpretations, conclusions, and recommendations within this article are solely those of the authors.","Anger I., Kittl C., Measuring influence on twitter, Knowledge Management and Knowledge Technologies, (2011); Auxier B., Anderson M., Social media use in 2021, (2021); Azose J. J., Raftery A. E., Estimation of emigration, return migration, and transit migration between all pairs of countries, PNAS, (2019); Cava L. L., Aiello L. M., Tagarelli A., Drivers of social influence in the twitter migration to mastodon, Scientific Reports, (2023); Fiesler C., Dym B., Moving across lands: Online platform migration in fandom communities, Human-Computer Interaction, (2020); Givon M., Variety seeking through brand switching, Marketing Science, (1984); He J., Zia H. B., Castro I., Raman A., Sastry N., Tyson G., Flocking to mastodon: Tracking the great twitter migration, Internet Measurement Conference, (2023); Hou A. C., Chern C.-C., Chen H.-G., Chen Y.-C., migrating to a new virtual world': Exploring mmorpg switching through human migration theory, Computers in Human Behavior, (2011); Hou A. C., Shiau W.-L., Understanding facebook to instagram migration: a push-pull migration model perspective, Information Technology & People, (2020); Jeong U., Ding K., Cheng L., Guo R., Shu K., Liu H., Nothing stands alone: Relational fake news detection with hypergraph neural networks, IEEE Big Data, (2022); Jeong U., Sheth P., Tahir A., Alatawi F., Bernard H. R., Liu H., Exploring platform migration patterns between twitter and mastodon: A user behavior study, (2023); Keller K. L., Conceptualizing, measuring, and managing customer-based brand equity, Journal of marketing, (1993); Kumar S., Zafarani R., Liu H., Understanding user migration patterns in social media, AAAI, (2011); Lee E. S., A theory of migration, Demography, (1966); Levitt P., Jaworsky B. N., Transnational migration studies: Past developments and future trends, Annual Review of Sociology, (2007); Matias J. N., Going dark: Social factors in collective action against platform operators in the reddit blackout, Human Factors in Computing Systems, (2016); Monti C., Cinelli M., Valensise C., Quattrociocchi W., Starnini M., Online conspiracy communities are more resilient to deplatforming, (2023); Rogers R., Deplatforming: Following extreme internet celebrities to telegram and alternative social media, European Journal of Communication, (2020); Torkjazi M., Rejaie R., Willinger W., Hot today, gone tomorrow: on the migration of myspace users, ACM workshop, (2009); Valero M. V., Thousands of scientists are cutting back on twitter, seeding angst and uncertainty, Nature, (2023); van Trijp H. C., van Kleef E., Newness, value and new product performance, Trends in food science & technology, (2008); Yule G. U., On the methods of measuring association between two attributes, Journal of the Royal Statistical Society, (1912); Zengyan C., Yinping Y., Lim J., Cyber migration: An empirical investigation on factors that affect users' switch intentions in social networking sites, System Sciences, (2009); Ziems C., Held W., Shaikh O., Chen J., Zhang Z., Yang D., Can large language models transform computational social science?, (2023)","U. Jeong; School of Computing and Augmented Intelligence, Arizona State University, United States; email: ujeong1@asu.edu; A. Nirmal; School of Computing and Augmented Intelligence, Arizona State University, United States; email: anirmal1@asu.edu; K. Jha; School of Computing and Augmented Intelligence, Arizona State University, United States; email: kjha9@asu.edu; H. Liu; School of Computing and Augmented Intelligence, Arizona State University, United States; email: huanliu@asu.edu","Shekhar S.; Papalexakis V.; Gao J.; Jiang Z.; Riondato M.","Society for Industrial and Applied Mathematics Publications","","2024 SIAM International Conference on Data Mining, SDM 2024","18 April 2024 through 20 April 2024","Houston","199300","","978-161197803-2","","","English","Proc. SIAM Int. Conf. Data Min., SDM","Conference paper","Final","","Scopus","2-s2.0-85193479484"
"He J.; Zia H.B.; Castro I.; Raman A.; Sastry N.; Tyson G.","He, Jiahui (58146616300); Zia, Haris Bin (57204212995); Castro, Ignacio (54891848000); Raman, Aravindh (57190405201); Sastry, Nishanth (25930132500); Tyson, Gareth (25960456600)","58146616300; 57204212995; 54891848000; 57190405201; 25930132500; 25960456600","Flocking to Mastodon: Tracking the Great Twitter Migration","2023","Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC","","","","111","123","12","11","10.1145/3618257.3624819","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177615231&doi=10.1145%2f3618257.3624819&partnerID=40&md5=6ac7370afaf9ebef9cf71a34e2f21dd6","Hong Kong University of Science and Technology (GZ), Guangzhou, China; Queen Mary University of London, London, United Kingdom; Telefonica Research, Barcelona, Spain; University of Surrey, Guildford, United Kingdom","He J., Hong Kong University of Science and Technology (GZ), Guangzhou, China; Zia H.B., Queen Mary University of London, London, United Kingdom; Castro I., Queen Mary University of London, London, United Kingdom; Raman A., Telefonica Research, Barcelona, Spain; Sastry N., University of Surrey, Guildford, United Kingdom; Tyson G., Hong Kong University of Science and Technology (GZ), Guangzhou, China","The acquisition of Twitter by Elon Musk has spurred controversy and uncertainty among Twitter users. The move raised both praise and concerns, particularly regarding Musk's views on free speech. As a result, a large number of Twitter users have looked for alternatives to Twitter. Mastodon, a decentralized micro-blogging social network, has attracted the attention of many users and the general media. In this paper, we analyze the migration of 136,009 users from Twitter to Mastodon. We inspect the impact that this has on the wider Mastodon ecosystem, particularly in terms of user-driven pressure towards centralization. We further explore factors that influence users to migrate, highlighting the effect of users' social networks. Finally, we inspect the behavior of individual users, showing how they utilize both Twitter and Mastodon in parallel. We find a clear difference in the topics discussed on the two platforms. This leads us to build classifiers to explore if migration is predictable. Through feature analysis, we find that the content of tweets as well as the number of URLs, the number of likes, and the length of tweets are effective metrics for the prediction of user migration. © 2023 ACM.","machine learning; mastodon; topic modeling; twitter; user migration","Machine learning; User profile; Decentralised; Free speech; Machine-learning; Mastodon; Micro blogging; Topic Modeling; Twitter; Uncertainty; User driven; User migration; Social networking (online)","","","","","AP4L, (EP/V011189/1, EP/W032473/1); EU Horizon Framework, (101093006); Engineering and Physical Sciences Research Council, EPSRC, (EP/S033564/1)","This work was supported by EPSRC SODESTREAM (EP/S033564/1), AP4L (EP/W032473/1), REPHRAIN’s “Moderation in Decentralised Social Networks” (EP/V011189/1), and EU Horizon Framework grant agreement 101093006 (TaRDIS).","ActivityPub, (2018); Aiello L.M., Ruffo G., LotusNet: Tunable privacy for distributed online social network services, Computer Communications, 35, 1, pp. 75-88, (2012); Benton B., Choi J.-A., Luo Y., Green K., Hate speech spikes on twitter after elon musk acquires the platform, School of Communication and Media, (2022); Zia H.B., Raman A., Castro I., Anaobi I.H., De Cristofaro E., Sastry N., Tyson G., Toxicity in the Decentralized Web and the Potential for Model Sharing, Proceedings of the ACM on Measurement and Analysis of Computing Systems, 6, 2, pp. 1-25, (2022); Buchegger S., Schioberg D., Vu L.-H., Datta A., PeerSoN: P2P social networking: early experiences and insights, Proceedings of the Second ACM EuroSys Workshop on Social Network Systems, pp. 46-52, (2009); Cutillo L.A., Molva R., Strufe T., Safebook: A privacy-preserving online social network leveraging on real-life trust, IEEE Communications Magazine, 47, 12, pp. 94-101, (2009); Fiesler C., Dym B., Moving across lands: Online platform migration in fandom communities, Proceedings of the ACM on Human-Computer Interaction, 4, 2020, pp. 1-25, (2020); Gerhart N., Koohikamali M., Social network migration and anonymity expectations: What anonymous social network apps offer, Computers in Human Behavior, 95, 2019, pp. 101-113, (2019); Graffi K., Gross C., Stingl D., Hartung D., Kovacevic A., Steinmetz R., LifeSocial. KOM: A secure and P2P-based solution for online social networks, 2011 IEEE Consumer Communications and Networking Conference (CCNC), pp. 554-558, (2011); Grootendorst M., BERTopic: Neural topic modeling with a class-based TF-IDF procedure, (2022); Hassan A.I., Raman A., Castro I., Zia H.B., De Cristofaro E., Sastry N., Tyson G., Exploring content moderation in the decentralised web: The pleroma case, Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies, pp. 328-335, (2021); Jeong U., Sheth P., Tahir A., Alatawi F., Russell Bernard H., Liu H., Exploring platform migration patterns between twitter and mastodon: A user behavior study, (2023); Cava L.L., Aiello L.M., Tagarelli A., Get Out of the Nest! Drivers of Social Influence in the# TwitterMigration to Mastodon, (2023); Cava L.L., Greco S., Tagarelli A., Understanding the growth of the Fediverse through the lens of Mastodon, Applied Network Science, 6, 2021, pp. 1-35, (2021); Cava L.L., Greco S., Tagarelli A., Information consumption and boundary spanning in decentralized online social networks: the case of mastodon users, Online Social Networks and Media, 30, 2022, (2022); Cava L.L., Greco S., Tagarelli A., Network analysis of the information consumption-production dichotomy in mastodon user behaviors, Proceedings of the International AAAI Conference on Web and Social Media, 16, pp. 1378-1382, (2022); Otala J.M., Kurtic G., Grasso I., Liu Y., Matthews J., Madraki G., Political polarization and platform migration: a study of Parler and Twitter usage by United States of America Congress Members, Companion Proceedings of the Web Conference, 2021, pp. 224-231, (2021); Mansoux A., Abbing R.R., Seven theses on the fediverse and the becoming of FLOSS, (2020); Mastodon, (2022); Over 1 million people have joined Mastodon since October 27, (2022); Raman A., Joglekar S., De Cristofaro E., Sastry N., Tyson G., Challenges in the decentralised web: The mastodon case, Proceedings of the Internet Measurement Conference, pp. 217-229, (2019); Rehurek R., Sojka P., Gensim–python framework for vector space modelling, (2011); Reimers N., Gurevych I., Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, (2019); Reimers N., Gurevych I., Sentence-bert: Sentence embeddings using siamese bert-networks, (2019); Cerqueira R.L., Timeline for the shutdown of the mastodon-twitter crossposter instance at crossposter, (2022); Townsend L., Wallace C., Social media research: A guide to ethics, 1, (2016); Townsend L., Wallace C., The ethics of using social media data in research: A new framework, The ethics of online research, pp. 189-207, (2017); Zhong C., Salehi M., Shah S., Cobzarenco M., Sastry N., Cha M., Social bootstrapping: how pinterest and last. fm social communities benefit by borrowing links from facebook, Proceedings of the 23rd international conference on World wide web, pp. 305-314, (2014)","","","Association for Computing Machinery","ACM; ACM SIGCOMM; ACM SIGMETRICS","23rd Edition of the ACM Internet Measurement Conference, IMC 2023","24 October 2023 through 26 October 2023","Montreal","194142","","979-840070382-9","","","English","Proc. ACM SIGCOMM Internet Meas. Conf. IMC","Conference paper","Final","All Open Access; Green Open Access","Scopus","2-s2.0-85177615231"
"","","","CoNEXT-SW 2021 - Proceedings of the 2021 CoNEXT Student Workshop 2021 - Part of CoNEXT 2021 the 17th International Conference on emerging Networking EXperiments and Technologies","2021","CoNEXT-SW 2021 - Proceedings of the 2021 CoNEXT Student Workshop 2021 - Part of CoNEXT 2021 the 17th International Conference on emerging Networking EXperiments and Technologies","","","","","","27","0","","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121597369&partnerID=40&md5=523e6c25d6e7aa2b677de712e1602420","","","The proceedings contain 11 papers. The topics discussed include: the impact of Capitol Hill on pleroma: the case for decentralized moderation; augmenting phishing squatting detection with GANs; towards a generic deep learning pipeline for traffic measurements; an analysis of privacy leakage in DoQ traffic; towards generic traffic change detection in the data plane; securing name resolution in the IoT: DNS over CoAP; large scale outage visibility on the control plane; using proof-of-work to mitigate spoofing-based denial of service attacks; leveraging node heterogeneity to improve content discovery and content retrieval in peer-to-peer networks; quantum scheduling optimization for UAV-enabled IoT networks; and ML-based data classification and data aggregation on the edge.","","","","","","","","","","","","Association for Computing Machinery, Inc","ACM SIGCOMM","2nd ACM CoNEXT Student Workshop, CoNEXT-SW 2021, co-located with the 17th International Conference on emerging Networking EXperiments and Technologies, CoNEXT 2021","7 December 2021","Virtual, Online","175327","","978-145039133-7","","","English","CoNEXT-SW - Proc. CoNEXT Stud. Workshop - Part CoNEXT Int. Conf. Emerg. Netw. EXper. Technol.","Conference review","Final","","Scopus","2-s2.0-85121597369"
"Kwet M.","Kwet, Michael (57198425768)","57198425768","Fixing Social Media: Toward a Democratic Digital Commons","2020","Markets, Globalization and Development Review","5","1","4","","","","14","10.23860/MGDR-2020-05-01-04","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115630169&doi=10.23860%2fMGDR-2020-05-01-04&partnerID=40&md5=90ca2d1280d30b0d2704af3eaf3704a2","","","In the past few years, big Social Media networks like Facebook, Twitter, and YouTube have received intense scrutiny from the intellectual classes. This article critiques the dominant strain of criticism, the neo-Brandeisian School of antitrust, for its narrow focus on “regulated competition” as an appropriate means to “fix social media”. This essay calls for a socialist alternative: a democratic social media commons based on free and open source technology, decentralization, and democratic socialist legal solutions. It reviews how existing solutions like the Fediverse and LibreSocial work, and how they may provide answers for a better way forward. © 2020, University of Rhode Island. All rights reserved.","","","","","","","","","Best Michael L., The Internet that Facebook Built, Communications of the ACM, 57, 12, pp. 21-23, (2014); Foster John Bellamy, McChesney Robert W., Surveillance Capitalism, Monthly Review, 66, 3, (2014); Hickel Jason, A Letter to Steven Pinker (and Bill Gates, for that matter) about Global Poverty, (2019); Hill Charles WL, Establishing a Standard: Competitive Strategy and Technological Standards in Winner-take-all Industries, Academy of Management Perspectives, 11, 2, pp. 7-25, (1997); Johnson Nicholas L., What are Network Effects?, Applico, (2020); Kahn Lina, Amazon’s Antitrust Paradox, The Yale Law Journal, 126, 3, (2017); Katz Michael L., Shapiro Carl, Systems Competition and Network Effects, Journal of Economic Perspectives, 8, 2, pp. 93-115, (1994); Kwet Michael, Digital Colonialism: South Africa’s Education Transformation in the Shadow of Silicon Valley, SSRN, (2020); Kwet Michael, Digital Colonialism: US Empire and the New Imperialism in the Global South, Race & Class, 60, 4, pp. 3-26, (2019); Kwet Michael, A Digital Tech New Deal: Digital Socialism, Decolonisation, and Reparations for a Global Green Economy, GIS Watch, (2020); Kwet Michael, People’s Tech for People’s Power: A Guide to Digital Self-Defense and Empowerment, (2020); Lynn Barry, Stoller Matt, Facebook must be Restructured. The FTC Should Take These Nine Steps Now, The Guardian, (2018); Makuch Ben, The Nazi-Free Alternative to Twitter Is Now Home to the Biggest Far Right Social Network, VICE News/ Motherboard, (2019); Masinde Newton, Graffi Kalman, Peer-to-Peer based Social Networks: A Comprehensive Survey, (2020); Masnick Mike, Protocols Instead Of Platforms: Rethinking Reddit, Twitter, Moderation And Free Speech, (2015); Moglen Eben, Freedom In the Cloud: Software Freedom, Privacy, and Security for Web 2.0 and Cloud Computing, Software Freedom Law Center, (2010); The Editorial Board, “What’s the Plan if Trump Tweets That He’s Won Re-election? Social media platforms must not tolerate voter disinformation, New York Times, (2020); O'Brien Sean, Kwet Michael, Android Users: To Avoid Malware, Try the F-Droid App Store, Wired, (2018); Ozgun Aras, [Cntrl] + [Alt] + [Esc]? 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Globalization Dev. Rev.","Article","Final","All Open Access; Hybrid Gold Open Access","Scopus","2-s2.0-85115630169"
"La Cava L.; Mandaglio D.; Tagarelli A.","La Cava, Lucio (57225912867); Mandaglio, Domenico (57202789449); Tagarelli, Andrea (7004259889)","57225912867; 57202789449; 7004259889","Polarization in Decentralized Online Social Networks","2024","Proceedings of the 16th ACM Web Science Conference, WebSci 2024","","","","48","52","4","1","10.1145/3614419.3644013","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195136878&doi=10.1145%2f3614419.3644013&partnerID=40&md5=6f7e78b84842e4e08e47a4345c1093b7","DIMES Dept., University of Calabria, Rende, Italy","La Cava L., DIMES Dept., University of Calabria, Rende, Italy; Mandaglio D., DIMES Dept., University of Calabria, Rende, Italy; Tagarelli A., DIMES Dept., University of Calabria, Rende, Italy","Centralized social media platforms are currently experiencing a shift in user engagement, drawing attention to alternative paradigms like Decentralized Online Social Networks (DOSNs). The rising popularity of DOSNs finds its root in the accessibility of open-source software, enabling anyone to create a new instance (i.e., server) and participate in a decentralized network known as Fediverse. Despite this growing momentum, there has been a lack of studies addressing the effect of positive and negative interactions among instances within DOSNs. This work aims to fill this gap by presenting a preliminary examination of instances' polarization in DOSNs, focusing on Mastodon - the most widely recognized decentralized social media platform, boasting over 10M users and nearly 20K instances to date. Our results suggest that polarization in the Fediverse emerges in unique ways, influenced by the desire to foster a federated environment between instances, also facilitating the isolation of instances that may pose potential risks to the Fediverse. © 2024 Copyright held by the owner/author(s)","Fediverse; Mastodon; Polarization; Signed Network","Open source software; Open systems; Polarization; Centralised; Decentralised; Decentralized networks; Fediverse; Mastodon; Open-source softwares; Positive interaction; Signed networks; Social media platforms; User engagement; Social networking (online)","","","","","PNRR Future AI Research; FAIR, (H23C22000860006, H53D23003550006)","This work is partly supported by the PNRR Future AI Research (FAIR) project (H23C22000860006, M4C21.3 spoke 9) and by PRIN 2022 Project \u201CAWESOME: Analysis framework for WEb3 SOcial MEdia\u201D (H53D23003550006). These funders had no role in data collection and analysis, decision to publish, or preparation of the manuscript.","Bansal N., Blum A., Chawla S., Correlation clustering, Machine learning, 56, pp. 89-113, (2004); Bonchi F., Galimberti E., Gionis A., Ordozgoiti B., Ruffo G., Discovering polarized communities in signed networks, Proc. CIKM Conf., pp. 961-970, (2019); Bono C., Cava L.L., Luceri L., Pierri F., An Exploration of Decentralized Moderation on Mastodon, Proc. 16th ACM Conference on Web Science (WebSci'24), (2024); Chiang K.-Y., Whang J.J., Dhillon I.S., Scalable clustering of signed networks using balance normalized cut, Proc. CIKM Conf., pp. 615-624, (2012); Conover M., Ratkiewicz J., Francisco M., Goncalves B., Menczer F., Flammini A., Political polarization on Twitter, Proc. 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DS Conf., pp. 302-317, (2022); He J., Zia H.B., Castro I., Raman A., Sastry N., Tyson G., Flocking to Mastodon: Tracking the Great Twitter Migration, Proc. IMC Conf., pp. 111-123, (2023); Hohmann M., Devriendt K., Coscia M., Quantifying ideological polarization on a network using generalized Euclidean distance, Science Advances, 9, (2023); Jeong U., Nirmal A., Jha K., Tang X., Bernard H.R., Liu H., User Migration across Multiple Social Media Platforms, (2023); Jobin A., Ienca M., Vayena E., The global landscape of AI ethics guidelines, Nature machine intelligence, 1, 9, pp. 389-399, (2019); Kumar S., Hamilton W.L., Leskovec J., Jurafsky D., Community interaction and conflict on the Web, Proc. WWW Conf., pp. 933-943, (2018); Kunegis J., Schmidt S., Lommatzsch A., Lerner J., De Luca E.W., Albayrak S., Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization, Proc. SDM Conf., pp. 559-570, (2010); Cava L.L., Aiello L.M., Tagarelli A., Drivers of social influence in the Twitter migration to Mastodon, Scientific Reports, 13, 1, (2023); Cava L.L., Greco S., Tagarelli A., Understanding the growth of the Fediverse through the lens of Mastodon, Appl. Netw. Sci., 6, 1, (2021); Cava L.L., Greco S., Tagarelli A., Information consumption and boundary spanning in Decentralized Online Social Networks: The case of Mastodon users, Online Social Networks and Media, 30, (2022); Cava L.L., Greco S., Tagarelli A., Network Analysis of the Information Consumption-Production Dichotomy in Mastodon User Behaviors, Proc. ICWSM Conf., pp. 1378-1382, (2022); Raman A., Joglekar S., De Cristofaro E., Sastry N., Tyson G., Challenges in the Decentralised Web: The Mastodon Case, Proc. IMC Conf., pp. 217-229, (2019); Tzeng R.-C., Ordozgoiti B., Gionis A., Discovering conflicting groups in signed networks, Proc. NIPS Conf., 33, pp. 10974-10985, (2020); Zignani M., Gaito S., Rossi G.P., Follow the “Mastodon”: Structure and Evolution of a Decentralized Online Social Network, Proc. ICWSM Conf. AAAI Press, pp. 541-551, (2018); Zignani M., Quadri C., Gaito S., Cherifi H., Rossi G.P., The Footprints of a “Mastodon”: How a Decentralized Architecture Influences Online Social Relationships, Proc. InfoCom Workshops., pp. 472-477, (2019); Serrano M.A., Boguna M., Vespignani A., Extracting the multiscale backbone of complex weighted networks, Proceedings of the National Academy of Sciences, 106, 16, pp. 6483-6488, (2009)","","Aiello L.C.; Mejova Y.; Seneviratne O.; Sun J.; Kaiser S.; Staab S.","Association for Computing Machinery, Inc","ACM Special Interest Group on Hypertext and the Web (SIGWEB); GESIS - Leibniz Institute for the Social Sciences; University of Stuttgart - Interchange Forum for Reflecting on Intelligent Systems (IRIS); Web Science Trust (WST); Web4Good","16th ACM Web Science Conference, WebSci 2024","21 May 2024 through 24 May 2024","Stuttgart","199712","","979-840070334-8","","","English","Proc. ACM Web Sci. Conf., WebSci","Conference paper","Final","All Open Access; Green Open Access","Scopus","2-s2.0-85195136878"
"Kasnesis P.; Heartfield R.; Liang X.; Toumanidis L.; Sakellari G.; Patrikakis C.; Loukas G.","Kasnesis, Panagiotis (57044812500); Heartfield, Ryan (55931830200); Liang, Xing (57208262641); Toumanidis, Lazaros (56403427900); Sakellari, Georgia (17435670700); Patrikakis, Charalampos (8244299800); Loukas, George (22951089500)","57044812500; 55931830200; 57208262641; 56403427900; 17435670700; 8244299800; 22951089500","Transformer-based identification of stochastic information cascades in social networks using text and image similarity","2021","Applied Soft Computing","108","","107413","","","","11","10.1016/j.asoc.2021.107413","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105040729&doi=10.1016%2fj.asoc.2021.107413&partnerID=40&md5=3c082be70b40f8271eefca3f58274706","University of West Attica, Greece; University of Greenwich, United Kingdom","Kasnesis P., University of West Attica, Greece; Heartfield R., University of Greenwich, United Kingdom; Liang X., University of Greenwich, United Kingdom; Toumanidis L., University of West Attica, Greece; Sakellari G., University of Greenwich, United Kingdom; Patrikakis C., University of West Attica, Greece; Loukas G., University of Greenwich, United Kingdom","Identifying the origin of information posted on social media and how this may have changed over time can be very helpful to users in determining whether they trust it or not. This currently requires disproportionate effort for the average social media user, who instead has to rely on fact-checkers or other intermediaries to identify information provenance for them. We show that it is possible to disintermediate this process by providing an automated mechanism for determining the information cascade where a post belongs. We employ a transformer-based language model as well as pretrained ResNet50 model for image similarity, to decide whether two posts are sufficiently similar to belong to the same cascade. By using semantic similarity, as well as image in addition to text, we increase accuracy where there is no explicit diffusion of reshares. In a new dataset of 1,200 news items on Twitter, our approach is able to increase clustering performance above 7% and 4.5% for the validation and test sets respectively over the previous state of the art. Moreover, we employ a probabilistic subsampling mechanism, reducing significantly cascade creation time without affecting the performance of large-scale semantic text analysis and the quality of information cascade generation. We have implemented a prototype that offers this new functionality to the user and have deployed it in our own instance of social media platform Mastodon. © 2021 Elsevier B.V.","Deep learning; Image similarity; Information cascade; Semantic textual similarity","Image analysis; Semantics; Statistical tests; Stochastic systems; Image similarity; Information cascades; Origin of informations; Quality of information; Semantic similarity; Semantic text analysis; Social media platforms; Stochastic information; Social networking (online)","","","","","European Commission's H2020 Innovation Action; European Commission’s H2020 Innovation Action; Horizon 2020 Framework Programme, H2020, (825171)","Funding text 1: The work presented in this paper has been supported through the European Commission’s H2020 Innovation Action programme under project EUNOMIA (Grant agreement No. 825171 ).; Funding text 2: The work presented in this paper has been supported through the European Commission's H2020 Innovation Action programme under project EUNOMIA (Grant agreement No. 825171).","Kim J., Tabibian B., Oh A., Scholkopf B., Gomez-Rodriguez M., Leveraging the crowd to detect and reduce the spread of fake news and misinformation, Proceedings of Eleventh ACM International Conference on Web Search and Data Mining, pp. 324-332, (2018); Vosoughi S., Roy D., Aral S., The spread of true and false news online, Science, 359, 6380, pp. 1146-1151, (2018); Porat T., Garaizar P., Ferrero M., Jones H., Ashworth M., Vadillo M.A., Content and source analysis of popular tweets following a recent case of diphtheria in Spain, Eur. 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Assoc., 78, pp. 553-569, (1983); Sakaki S., Miura Y., Ma X., Hattori K., Ohkuma T., Twitter user gender inference using combined analysis of text and image processing, (2014); Kasnesis P., Heartfield R., Toumanidis L., Liang X., Loukas G., Patrikakis C., A prototype deep learning paraphrase identification service for discovering information cascades in social networks, (2020)","P. Kasnesis; University of West Attica, Greece; email: pkasnesis@uniwa.gr","","Elsevier Ltd","","","","","","15684946","","","","English","Appl. Soft Comput.","Article","Final","All Open Access; Green Open Access","Scopus","2-s2.0-85105040729"
"","","","Proceedings of the 16th ACM Web Science Conference, WebSci 2024","2024","Proceedings of the 16th ACM Web Science Conference, WebSci 2024","","","","","","391","0","","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195120645&partnerID=40&md5=03e9773af9f1518e9878e60dd757c5f3","","","The proceedings contain 40 papers. The topics discussed include: understanding opinions towards migrants in transit: an analysis of tweets on migrant caravans in the US and Mexico; echo chambers in the age of algorithms: an audit of Twitter’s friend recommender system; a longitudinal study of Italian and French Reddit conversations around the Russian invasion of Ukraine; inside the echo chamber: linguistic underpinnings of misinformation on Twitter; conspiracy narratives on VOAT: a longitudinal analysis of cognitive activation and evolutionary psychology features; polarization in decentralized online social networks; an exploration of decentralized moderation on mastodon; reacting to generative AI: insights from student and faculty discussions on Reddit; social group differences in the social media discussion about ChatGPT and Bing chat; and misinformation and polarization around COVID-19 vaccines in France, Germany, and Italy.","","","","","","","","","","","Aiello L.C.; Mejova Y.; Seneviratne O.; Sun J.; Kaiser S.; Staab S.","Association for Computing Machinery, Inc","ACM Special Interest Group on Hypertext and the Web (SIGWEB); GESIS - Leibniz Institute for the Social Sciences; University of Stuttgart - Interchange Forum for Reflecting on Intelligent Systems (IRIS); Web Science Trust (WST); Web4Good","16th ACM Web Science Conference, WebSci 2024","21 May 2024 through 24 May 2024","Stuttgart","199712","","979-840070334-8","","","English","Proc. ACM Web Sci. Conf., WebSci","Conference review","Final","","Scopus","2-s2.0-85195120645"
"Matsushita T.; Fukuta N.","Matsushita, Takuma (57217698612); Fukuta, Naoki (8695054200)","57217698612; 8695054200","A Social Networking Support System to Rise up the One's Self-Evaluation","2018","Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018","","","8693280","594","599","5","1","10.1109/IIAI-AAI.2018.00125","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065207342&doi=10.1109%2fIIAI-AAI.2018.00125&partnerID=40&md5=d96013d33e3c96a1d95a033c922aa622","Graduate School of Integraded Science and Technology, Shizuoka University, Shizuoka, Japan; College of Informatics, Academic Institute, Shizuoka University, Shizuoka, Japan","Matsushita T., Graduate School of Integraded Science and Technology, Shizuoka University, Shizuoka, Japan; Fukuta N., College of Informatics, Academic Institute, Shizuoka University, Shizuoka, Japan","Suicide and cyber-bullying is one of the most serious issues on SNS-based communications. Mastodon is a destributed SNS and it does not include any central control of the whole network and this makes difficult to implement a centralized filtering and action-handling system for these issues. Also, these issues would decrease the number of people on the SNS and depopulation will be a serious issue to prevent people participating into the network. In our apploach, we use Liu's self-evaluation to measure these effects with agent-based model and challenge to make protecting system. © 2018 IEEE.","Multiagent; Network analysis; Social network","Autonomous agents; Computational methods; Electric network analysis; Agent-based model; Central control; Cyber bullying; Handling systems; Multiagent; Number of peoples; Self evaluation; Support systems; Social networking (online)","","","","","","","Abboute A., Boudjeriou Y., Entringer G., Aze J., Bringay S., Poncelet P., Mining twitter for suicide prevention, Natural Language Processing and Information Systems, pp. 250-253, (2014); Won H.-H., Myung W., Song G.-Y., Lee W.-H., Kim J.-W., Carroll B.J., Kim D.K., Predicting national suicide numbers with social media data, PLOS ONE, 8, 4, pp. 1-6, (2013); Knox K., Kemp J., Mckeon R., Katz I.R., Implementation and early utilization of a suicide hotline for veterans, American Journal of Public Health, 102, pp. S29-32; Liu J., Li L., Russell K., What becomes of the broken hearted?: An agent-based approach to self-evaluation, interpersonal loss, and suicide ideation, Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS '17), pp. 436-445, (2017); Gilbert E., Predicting tie strength in a new medium, Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work (CSCW '12), pp. 1047-1056, (2012); Rotabi R., Kamath K., Kleinberg J., Sharma A., Detecting strong ties using network motifs, Proceedings of the 26th International Conference on World Wide Web Companion (WWW '17 Companion), pp. 983-992, (2017); Daly E.M., Geyer W., Millen D.R., The network effects of recommending social connections, Proceedings of the Fourth ACM Conference on Recommender Systems (RecSys '10), pp. 301-304, (2010); Su J., Sharma A., Goel S., The effect of recommendations on network structure, Proceedings of the 25th International Conference on World Wide Web, Ser. WWW '16, pp. 1157-1167, (2016); Oishi S., Fukuta N., Mstdndeck: An agent-based protection of cyber-bullying on distributedly managed linked microbloggings, Proceedings of 2nd International Workshop on Platforms and Applications for Social Problem Solving and Collective Reasoning (PASSCR '17)., pp. 1195-1198, (2017); Zubin J., Spring B., Vulnerability: A new view of schizophrenia, Journal of Abnormal Psychology, 86, 2, pp. 103-126, (1977); Tesser A., Toward a self-evaluation maintenance model of social behavior, Advances in Experimental Social Psychology, 21, pp. 181-227, (1988); Durkheim E., Simpson G., Spaulding J.A., Suicide: A Study in Sociology, (1997); Barabasi A.-L., Albert R., Emergence of scaling in random networks, Science, 286, 5439, pp. 509-512, (1999); Erdos P., Renyi A., On the evolution of random graphs, Publ. Math. Inst. Hungary. Acad. Sci., 5, pp. 17-61, (1960); Watts D.J., Strogatz S.H., Collective dynamics of 'small-world' networks, Nature, 393, 6684, pp. 440-442, (1998)","","","Institute of Electrical and Electronics Engineers Inc.","International Institute of Applied Informatics (IIAI)","7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018","8 July 2018 through 13 July 2018","Yonago","147517","","978-153867447-5","","","English","Proc. - Int. Congr. Adv. Appl. Inf., IIAI-AAI","Conference paper","Final","","Scopus","2-s2.0-85065207342"
"Nobre G.P.; Ferreira C.H.G.; Almeida J.M.","Nobre, Gabriel P. (57211585441); Ferreira, Carlos H. G. (57194741088); Almeida, Jussara M. (35586158500)","57211585441; 57194741088; 35586158500","More of the Same? A Study of Images Shared on Mastodon’s Federated Timeline","2022","Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","13618 LNCS","","","181","195","14","2","10.1007/978-3-031-19097-1_11","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141738056&doi=10.1007%2f978-3-031-19097-1_11&partnerID=40&md5=a0a69b2fe4b170e6fbb0e109a03ff919","Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Universidade Federal de Ouro Preto, João Monlevade, Brazil","Nobre G.P., Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Ferreira C.H.G., Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, Universidade Federal de Ouro Preto, João Monlevade, Brazil; Almeida J.M., Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","We offer a first analysis of image content sharing on the Mastodon platform, one of the currently most popular decentralized online social networks. Our study relies on a dataset of toots gathered from a federated timeline (hosted in mastodon.social), consisting of over 1 million images shared by more than 100 thousand users. We focus on two key aspects: (i) profiling image content in terms of presence of explicit content (e.g., violence) and (ii) exploring potential channels between Mastodon instances as well as between Mastodon and the rest of the Web. Our main results offer evidence of a large amount of explicit content shared in the environment as well as the frequent presence of such content on the Web. In addition, we estimate a consistent flow of images (including explicit content) from other Web platforms (e.g., Twitter, Reddit, Facebook) to Mastodon. Finally, we also observed several image co-sharing user communities, ultimately bridging instance boundaries. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.","Decentralized online social networks; Images; Information dissemination; Mastodon","Social networking (online); User profile; Content Sharing; Decentralised; Decentralized online social network; Facebook; Image; Image content; Large amounts; Mastodon; User communities; Information dissemination","","","","","","","Al-Garadi M.A., Et al., Analysis of online social network connections for identification of influential users: Survey and open research issues, ACM Comput. Surv., 51, 1, pp. 1-37, (2018); Asim Y., Malik A.K., Raza B., Shahid A.R., A trust model for analysis of trust, influence and their relationship in social network communities, Telematics Inform, 36, pp. 94-116, (2019); Bailey R., Misra P., Interoperability of social media: An appraisal of the regulatory and technical ecosystem, Available at SSRN, (2022); Barabasi A.L., Network science, Philos. Trans. R. Soc. a Math. Phys. Eng. Sci., 371, (2013); Zia B., Et al., Toxicity in the decentralized web and the potential for model sharing, ACM on Measurement and Analysis of Computing Systems, (2022); Blondel V.D., Guillaume J.L., Lambiotte R., Lefebvre E., Fast unfolding of communities in large networks, J. Stat. Mech. Theory Exp, 2008, 10, (2008); la Cava L., Greco S., Tagarelli A., Understanding the growth of the Fediverse through the lens of Mastodon, Appl. Netw. Sci., 6, 1, pp. 1-35, (2021); Cava L.L., Greco S., Tagarelli A., Information consumption and boundary spanning in decentralized online social networks: The case of mastodon users, Online Soc. Netw. Media, 30, (2022); Cava L.L., Greco S., Tagarelli A., Network analysis of the information consumption-production dichotomy in mastodon user behaviors, Proceedings of the International AAAI Conference on Web and Social Media, pp. 1378-1382, (2022); D'Sa A.G., Illina I., Fohr D., Bert and fastText embeddings for automatic detection of toxic speech, International Multi-Conference On: Organization of Knowledge and Advanced Technologies (OCTA), (2020); Ferreira C.H., Et al., On the dynamics of political discussions on instagram: A network perspective, Online Soc. Netw. Media, 25, (2021); Gomes Ferreira C.H., Et al., Unveiling community dynamics on instagram political network, 12Th ACM Conference on Web Science, pp. 231-240, (2020); Hassan A.I., Et al., Exploring content moderation in the decentralised web: The pleroma case, 17Th International Conference on Emerging Networking Experiments and Technologies, (2021); Hou Q., Han M., Cai Z., Survey on data analysis in social media: A practical application aspect, Big Data Mining Anal, 3, 4, pp. 259-279, (2020); Li C.T., Lin Y.J., Yeh M.Y., The roles of network communities in social information diffusion, IEEE International Conference on Big Data (Big Data), pp. 391-400, (2015); Li Y., Xie Y., Is a picture worth a thousand words? an empirical study of image content and social media engagement, J. Mark. Res., 57, 1, pp. 1-19, (2020); Meel P., Vishwakarma D.K., Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities, Expert Syst. Appl., 153, (2020); Munch F.V., Thies B., Puschmann C., Bruns A., Walking through twitter: Sampling a language-based follow network of influential twitter accounts, Social Media + Society, 7, 1, (2021); Nobre G.P., Ferreira C.H., Almeida J.M., A hierarchical network-oriented analysis of user participation in misinformation spread on WhatsApp, Inf. Process. Manage., 59, 1, (2022); Papadopoulos S., Kompatsiaris I., Vakali A., Spyridonos P., Community detection in social media, Data Min. Knowl. Disc., 24, pp. 515-554, (2012); Raman A., Joglekar S., Cristofaro E.D., Sastry N., Tyson G., Challenges in the decentralised web: The mastodon case, IMC 2019, pp. 217-229, (2019); Vosoughi S., Roy D., Aral S., The spread of true and false news online, Science, 359, 6380, pp. 1146-1151, (2018); Wu L., Morstatter F., Carley K.M., Liu H., Misinformation in social media: Definition, manipulation, and detection, ACM SIGKDD Explor. Newsl., 21, 2, pp. 80-90, (2019); Xu S., Zhou A., Hashtag homophily in twitter network: Examining a controversial cause-related marketing campaign, Comput. Hum. Behav., 102, pp. 87-96, (2020); Zauner C., Steinebach M., Hermann E., Rihamark: Perceptual image hash benchmarking, Media Watermarking, Security, and Forensics III, (2011); Zignani M., Gaito S., Rossi G.P., Follow the “mastodon”: Structure and evolution of a decentralized online social network, International AAAI Conference on Web and Social Media, pp. 541-550, (2018); Zignani M., Quadri C., Gaito S., Cherifi H., Rossi G.P., The footprints of a “mastodon”: How a decentralized architecture influences online social relationships, IEEE Conference on Computer Communications Workshops, (2019); Zignani M., Quadri C., Galdeman A., Gaito S., Rossi G.P., Mastodon content warnings: Inappropriate contents in a microblogging platform, International AAAI Conference on Web and Social Media, pp. 639-645, (2019); Zulli D., Liu M., Gehl R., Rethinking the “social” in “social media”: Insights into topology, abstraction, and scale on the mastodon social network, New Media Soc, 22, 7, pp. 1188-1205, (2020)","G.P. Nobre; Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; email: gabrielnobre@dcc.ufmg.br","Hopfgartner F.; Jaidka K.; Mayr P.; Jose J.; Breitsohl J.","Springer Science and Business Media Deutschland GmbH","","13th International Conference on Social Informatics, SocInfo 2022","19 October 2022 through 21 October 2022","Glasgow","285109","03029743","978-303119096-4","","","English","Lect. Notes Comput. Sci.","Conference paper","Final","","Scopus","2-s2.0-85141738056"
"Rödiger S.; Kogler M.; Birkholz M.","Rödiger, Stefan (49962220600); Kogler, Martin (54794153300); Birkholz, Mario (7003908185)","49962220600; 54794153300; 7003908185","Open-Source Software, Fediverse and Custom ROMs as Tools for a Sustainable Internet","2024","International Conference Electronics Goes Green 2024+: From Silicon to Sustainability, EGG 2024 - Proceedings","","","","","","","0","10.23919/EGG62010.2024.10631179","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203712536&doi=10.23919%2fEGG62010.2024.10631179&partnerID=40&md5=25b84183a54879d50831a1fa955b7eac","BTU Cottbus - Senftenberg, RG Image-based Assays, Senftenberg, Germany; VTT Technical Research Centre of Finland, Oulu, Finland; IHP - Leibniz-Institut für innovative Mikroelektronik, Frankfurt (Oder), Germany","Rödiger S., BTU Cottbus - Senftenberg, RG Image-based Assays, Senftenberg, Germany; Kogler M., VTT Technical Research Centre of Finland, Oulu, Finland; Birkholz M., IHP - Leibniz-Institut für innovative Mikroelektronik, Frankfurt (Oder), Germany","The transition to sustainable electronics necessitates both resource conservation in hardware production and shifts in software usage. This paper investigates the contribution of Free/Libre Open-Source Software (FLOSS) towards fair, and conflict-free practices through promoting collaboration, transparency, and resource accessibility. Our study investigates how the adoption of decentralized online social networks (DOSN) like Mastodon (microblogging) and PeerTube (video sharing), which operate on the ActivityPub protocol, contributes to sustainable practices within the electronics sector by fostering a federated universe (Fediverse). It is demonstrated how FLOSS, in the form of Alternative Mobile Operating Systems (AMOS) including Android open-source custom ROMs or mobile Linux systems, gain traction due to enhanced privacy protection, improved usability through tracker-free software and alternative app stores, and adherence to EU directives on the right to self-repair. As AMOS mature for everyday use, they attract consumers, thereby contributing towards sustainable electronics development. Furthermore, the Fediverse's Application Programming Interfaces (APIs) enable seamless information exchange between instances, allowing for nuanced moderation that safeguards user privacy. This approach contrasts with centralized commercial networks, where algorithm-driven operations often prioritize profit over user well-being.  © 2024 Fraunhofer IZM.","alternative mobile operating systems (AMOS); decentralized; Fediverse; FLOSS; sustainability","Linux; Alternative mobile operating system; Conflict free; Decentralised; Federated universe; Free/Libre open source software; Mobile operating systems; Network likes; Open-source softwares; Resource conservation; Sustainable electronics; Open source software","","","","","","","Hakola L., Immonen K., Sokka L., Valimaki M., Smolander M., Mantyalo M., Tanninen P., Lyytikainen J., Leminen V., Naji Nassajfar M., Horttanainen M., Venetjoki P., Sustainable materials and processes for electronics, photonics and diagnostics, pp. 45-52, (2020); Ozturkcan S., The right-to-repair movement: Sustainability and consumer rights, Journal of Information Technology Teaching Cases, (2023); Fan W., Materials and technology innovations towards sustainable electronics, Nature Materials, 22, 11, pp. 1274-1275, (2023); Schiffleitner A., Prox M., Wahl A., Reaching Carbon Neutrality with Role-Based Access to LCA Information of materials, parts, and components, pp. 592-595, (2020); Boniface C., Urquhart L., Terras M., Towards a right to repair for the Internet of Things: A review of legal and policy aspects, Computer Law & Security Review, 52, (2024); Albrecht E., Planned Obsolescence: A Case Under Torts Law as Intentional Damage Contrary to Public Policy (Art. 826 German Civil Code), Sustainable Global Value Chains, 2, pp. 689-708; Jacob P., Projected Obsolescence in Electric and Electronic Consumer Equipment-What are the Limiters of Lifetime, Service Life and Reparability of Modern Consumer Electr (on)ics, pp. 501-506, (2020); Jaeger-Erben M., Hipp T., Frick V., How long do we care? The role of consumer practices for sustainable electronics, Electronics Goes Green 2020+, pp. 695-698, (2020); Revellio F., Shi L., Hansen E.G., Chertow M., Sustainability paradoxes for product modularity: The case of smartphones, pp. 121-130, (2020); Mehra A., Rajput S., Paul J., Determinants of adoption of latest version smartphones: Theory and evidence, Technological Forecasting and Social Change, 175, (2022); Bieser T.J.C., Blumer Y., Burkhalter L., Itten R., Jobin M., Hilty L.M., Consumer-oriented interventions to extend smartphones' service lifetime, Cleaner and Responsible Consumption, 7, (2022); Wagner E., Poppe E., Hahn F., Jaeger-Erben M., Druschke J., Nissen N.F., Lang K., Decomposing software obsolescence cases-a cause and effect analysis framework for software induced product replacement, Electronics Goes Green 2020+, pp. 223-228, (2020); Tozzi C., For Fun and Profit: A History of the Free and Open Source Software Revolution, (2017); Yildirim N., Ansal H., Foresighting FLOSS (free/libre/open source software) from a developing country perspective: The case of Turkey, Technovation, (2011); Charpentier R., Debbabi M., Alhadidi D., Mourad A., Belblidia N., Boukhtouta A., Hanna A., Hadjidj R., Kaitouni H., Laverdiere M., Zhou Ling H., Tlili S., Yang X., Yang Z., Security Evaluation and Hardening of Free and Open Source Software (FOSS), Electronic Communications of the EASST, 33, (2010); Lenarduzzi V., Taibi D., Tosi D., Lavazza L., Morasca S., Open Source Software Evaluation, Selection, and Adoption: A Systematic Literature Review, (2020); Calloni B., McGowan J., Stanley R., Open Source Software: Free Isn't Exactly Cheap! In Infotech@Aerospace, (2005); Rea Sanchez V., Neira Ayuso P., Galindo J.A., Benavides D., Open Source Adoption Factors-A Systematic Literature Review, IEEE Access, 8, pp. 94594-94609, (2020); Wang Y., Chen Y., Koo B., Open to Your Rival: Competition between Open Source and Proprietary Software under Indirect Network Effects, Journal of Management Information Systems, 37, 4, pp. 1128-1154, (2020); Chelkowski T., Jemielniak D., Macikowski K., Free and Open Source Software organizations: A large-scale analysis of code, comments, and commits frequency, PLoS ONE, 16, 9, (2021); Jiang Q., Qin J., Kang L., A Literature Review for Open Source Software Studies, HCI in Business, pp. 699-707, (2015); Amadeo R., Google's iron grip on Android: Controlling open source by any means necessary From the archives: Android is open-except for all the good parts; Bain M., Google Chrome and Android: Legal Aspects of Open Source Software, Google and the Law: Empirical Approaches to Legal Aspects of Knowledge-Economy Business Models, pp. 259-286, (2012); 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Albasir A., Naik K., Plourde B., Goel N., Experimental study of energy and bandwidth costs of web advertisements on smartphones, 6th International Conference on Mobile Computing, Applications and Services, pp. 90-97, (2014); Rasmussen K., Wilson A., Hindle A., Green mining: Energy consumption of advertisement blocking methods, Proceedings of the 3rd International Workshop on Green and Sustainable Software, GREENS 2014, pp. 38-45, (2014); Russell M., Hong P., Blakely L., Kirkham M., Enyoghasi C., Wang P., Badurdeen F., Smartphone App Design for Product Use Sustainability Evaluation, EcoDesign for Sustainable Products, Services and Social Systems II, pp. 401-411, (2024); Liu H., Patras P., Leith D.J., Android Mobile OS Snooping By Samsung, Xiaomi, Huawei and Realme Handsets, Technical report, School of Computer Science and Statistics, (2021); Kanti Dutta Pramanik P., Sinhababu N., Mukherjee B., Padmanaban S., Maity A., Kumar Upadhyaya B., Bo Holm-Nielsen J., Choudhury P., Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage, IEEE Access, 7, pp. 182113-182172, (2019); Rauhala T., Electrochemical Studies on Degradation Mechanisms of Electrode Materials in Lithium-Ion Batteries, (2020); Li T., Xia T., Wang H., Tu Z., Tarkoma S., Han Z., Hui P., Smartphone App Usage Analysis: Datasets, Methods, and Applications, IEEE Communications Surveys & Tutorials, 24, 2, pp. 937-966, (2022); Skowronek J., Seifert A., Lindberg S., The mere presence of a smartphone reduces basal attentional performance, Scientific Reports, 13, 1, (2023); Gong Y., Chen C., Tan Y., Tang D., How active social network site use affects green consumption: A moderated mediation model, Frontiers in Psychology, 14, (2023); Gomez-Casillas A., Gomez Marquez V., The effect of social network sites usage in climate change awareness in Latin America, Population and Environment, 45, 2, (2023); Meng Y., Chung D., Zhang A., The effect of social media environmental information exposure on the intention to participate in pro-environmental behavior, PLOS ONE, 18, 11, (2023); Xie S., Rasool Madni G., Impact of Social Media on Young Generation's Green Consumption Behavior through Subjective Norms and Perceived Green Value, Sustainability, 15, 4, (2023); Kern E., Hilty L.M., Guldner A., Maksimov Y.V., Filler A., Groger J., Naumann S., Sustainable software products-Towards assessment criteria for resource and energy efficiency, Future Generation Computer Systems, 86, pp. 199-210, (2018); Da Silva Muller Teixeira F., De Carvalho Peres A.C., Santiago Gomes T., Lea L.V.Y., Beatriz Acordi Vasques Pacheco E., A Review on the Applicability of Life Cycle Assessment to Evaluate the Technical and Environmental Properties of Waste Electrical and Electronic Equipment, Journal of Polymers and the Environment, 29, 5, pp. 1333-1349, (2021); Fritsch A., Beschke S., Drucks T., Jekutsch S., Lutzweiler S., Fairtronics: A Social Hotspot Analysis Tool for Electronics Products, pp. 652-657, (2020); Dwivedi Y.K., Ismagilova E., Laurie Hughes D., Carlson J., Filieri R., Jacobson J., Jain V., Karjaluoto H., Kefi H., Krishen A.S., Kumar V., Rahman M.M., Raman R., Rauschnabel P.A., Rowley J., Salo J., Tran G.A., Wang Y., Setting the future of digital and social media marketing research: Perspectives and research propositions, International Journal of Information Management, 59, (2021); 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Twenge J.M., Haidt J., Lozano J., Cummins K.M., Specification curve analysis shows that social media use is linked to poor mental health, especially among girls, Acta Psychologica, 224, (2022); Roth Y., Lai S., Securing Federated Platforms: Collective Risks and Responses, Journal of Online Trust and Safety, 2, 2, (2024); Zulli D., Liu M., Gehl R., Rethinking the social in social media : Insights into topology, abstraction, and scale on the Mastodon social network, New Media & Society, 22, 7, pp. 1188-1205, (2020); Dhinakaran C., Chae C., Lee J., Nagamalai D., An Empirical Study of Spam and Spam Vulnerable email Accounts, Future Generation Communication and Networking (FGCN 2007), 1, pp. 408-413, (2007); Erdin E., Klukovich E., Gunduz G., Hadi Gunes M., POSN: A Personal Online Social Network, ICT Systems Security and Privacy Protection, 455, pp. 51-66, (2015); Meschede C., The Sustainable Development Goals in Scientific Literature: A Bibliometric Overview at the Meta-Level, Sustainability, 12, (2020); Roscam Abbing R., Gehl R.W., Shifting your research from X to Mastodon? Here's what you need to know, Patterns, 5, 1, (2024); Yeh S., Hsieh Y., Yu H., Tseng Y., The Trends and Content of Research Related to the Sustainable Development Goals: A Systemic Review, Applied Sciences, 12, 13, (2022); Sweileh W.M., Bibliometric analysis of scientific publications on sustainable development goals with emphasis on good health and well-being goal (2015-2019), Globalization and Health, 16, (2020); Hassan Anaobi I., Raman A., Castro I., Bin Zia H., Ibosiola D., Tyson G., Will Admins Cope? Decentralized Moderation in the Fediverse, Proceedings of the ACM Web Conference 2023, WWW '23, pp. 3109-3120, (2023); Caelin D., Decentralized Networks vs The Trolls, Fundamental Challenges to Global Peace and Security: The Future of Humanity, pp. 143-168, (2022); Laux L., Erdodi L., Selgrad K., Trust as the Elephant in the Room: Security Evaluation of Decentralized Online Social Networks with Mastodon, Norsk IKT-konferanse for forskning og utdanning, (3), 3, (2023); Jin C., Yang L., Zhu C., Right to Repair: Pricing, Welfare, and Environmental Implications, Management Science, 69, 2, pp. 1017-1036, (2023); Roskladka N., Jaegler A., Miragliotta G., From right to repair to willingness to repair : Exploring consumer's perspective to product lifecycle extension, Journal of Cleaner Production, 432, (2023); Svensson S., Luth Richter J., Maitre-Ekern E., Pihlajarinne T., Maigret A., Dalhammar C., The Emerging 'Right to Repair' legislation in the EU and the U. S.: Going Green CARE INNOVATION, (2018); Bissinger K., Brandi C., De Cabrera L.S., Fiorini M., Schleifer P., De Fernandez C.S., Ahmed N., Linking voluntary standards to sustainable development goals, (2020); De Vries A., Bitcoin's energy consumption is underestimated: A market dynamics approach, Energy Research & Social Science, 70, (2020); Zhang D., Haviour Chen X., Keung Marco Lau C., Xu B., Implications of cryptocurrency energy usage on climate change, Technological Forecasting and Social Change, 187, (2023); Albrecht E., VSS and Legal Standards: Competition or an Added Value? Volume 1 of Natural Resource Management in Transition, (2014); Hatta M., The Right to Repair, the Right to Tinker, and the Right to Innovate, Annals of Business Administrative Science, 19, 4, pp. 143-157, (2020); Priem J., Piwowar H., Orr R., OpenAlex: A fullyopen index of scholarly works, authors, venues, institutions, and concepts, (2022); Martin-Martin A., Thelwall M., Orduna-Malea E., Delgado Lopez-Cozar E., Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations' COCI: A multidisciplinary comparison of coverage via citations, Scientometrics, 126, 1, pp. 871-906, (2021); Yao R., Tian M., Lei C., Chiu W.D.K., Assigning multiple labels of sustainable development goals to open educational resources for sustainability education, Education and Information Technologies, (2024); Rodiger S., Friedrichsmeier T., Kapat P., Michalke M., RKWard: A comprehensive graphical user interface and integrated development environment for statistical analysis with R, Journal of Statistical Software, 49, 9, pp. 1-34, (2012); Barrett T., Dowle M., Srinivasan A., Gorecki J., Chirico M., Hocking T., Data table: Extension of 'data. frame, R package version 1. 15. 2, (2024); Makowski D., Ben-Shachar M., Patil I., Ludecke D., Methods and Algorithms for Correlation Analysis in R, Journal of Open Source Software, 5, 51, (2020)","","","Institute of Electrical and Electronics Engineers Inc.","","2024 International Conference on Electronics Goes Green 2024+, EGG 2024","18 June 2024 through 20 June 2024","Berlin","202050","","978-300079330-1","","","English","Int. Conf. Electron. Goes Green +: From Silicon to Sustain., EGG - Proc.","Conference paper","Final","","Scopus","2-s2.0-85203712536"
"Jensen M.; Hansen M.; Hansen M.","Jensen, Meiko (24463669700); Hansen, Marit (14066037400); Hansen, Malte (57716618000)","24463669700; 14066037400; 57716618000","Privacy Challenges in the Metaverse","2024","Proceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024","","","","182","189","7","0","10.1109/MetaCom62920.2024.00039","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211446224&doi=10.1109%2fMetaCom62920.2024.00039&partnerID=40&md5=8fce659cec7674894a8dd4bcd9dc5727","Karlstad University, Sweden; Uld Sh, Germany; University of Oslo, Norway","Jensen M., Karlstad University, Sweden; Hansen M., Uld Sh, Germany; Hansen M., University of Oslo, Norway","With the advent of the metaverse, multiple new challenges with respect to privacy and data protection may arise. Evolving from current and existing privacy debates, the use of metaverse technology on a large scale will impact on multiple aspects of the privacy and data protection domain.In this paper, we provide a generic categorization scheme for threats in metaverse privacy. Focusing on those privacy issues that are new or have a different level of relevance in the metaverse specifically, we iterate over challenges around metaverse infrastructure, virtual and augmented world representation, human-computer interaction, and legal compliance. © 2024 IEEE.","data protection; fediverse; metaverse; privacy","'current; Computer interaction; Fediverse; Large-scales; Legal compliance; Metaverses; Privacy; Privacy issue; Protection domains; Differential privacy","","","","","","","Leenes R., Privacy in the metaverse: Regulating a complex social construct in a virtual world, Journal of Public Economics - J PUBLIC ECON, (2008); Chen Z., Wu J., Gan W., Qi Z., Metaverse security and privacy: An overview, (2022); Lab L., Second life, Online virtual world community and platform, (2003); Newton C., Mark in the metaverse-facebook's ceo on why the social network is becoming a metaverse company, The Verge, (2021); Huang K., What is mastodon and why are people leaving twitter for it?"", (2022); Wang Y., Su Z., Zhang N., Xing R., Liu D., Luan T.H., Shen X., A survey on metaverse: Fundamentals, security, and privacy, IEEE Communications Surveys & Tutorials, (2022); Bahri L., Carminati B., Ferrari E., Decentralized privacy preserving services for online social networks, Online Social Networks and Media, 6, pp. 18-25, (2018); Hashash O., Chaccour C., Saad W., Sakaguchi K., Yu T., Towards a decentralized metaverse: Synchronized orchestration of digital twins and sub-metaverses, (2022); Vaudenay S., Centralized or decentralized? the contact tracing dilemma, (2020); Cutillo L.A., Molva R., Strufe T., Privacy preserving social networking through decentralization, 2009 Sixth International Conference on Wireless On-Demand Network Systems and Services. IEEE, pp. 145-152, (2009); Sweeney L., K-anonymity: A model for protecting privacy, International journal of uncertainty, fuzziness and knowledge-based systems, 10, 5, pp. 557-570, (2002); MacHanavajjhala A., Kifer D., Gehrke J., Venkitasubramaniam M., L-diversity: Privacy beyond k-anonymity, ACM Transactions on Knowledge Discovery from Data (TKDD), 1, 1, pp. 3-es, (2007); Samarati P., Sweeney L., Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression, (1998); Desai P.R., Desai P.N., Ajmera K.D., Mehta K., A review paper on oculus rift-A virtual reality headset, (2014); Angelov V., Petkov E., Shipkovenski G., Kalushkov T., Modern virtual reality headsets, 2020 International congress on humancomputer interaction, optimization and robotic applications (HORA). IEEE, pp. 1-5, (2020); Yovcheva Z., Buhalis D., Gatzidis C., Smartphone augmented reality applications for tourism, E-review of tourism research (ertr), 10, 2, pp. 63-66, (2012); Zhang M.W., Ho R., Smartphone applications for immersive virtual reality therapy for internet addiction and internet gaming disorder, Technology and Health Care, 25, 2, pp. 367-372, (2017); Majaranta P., Bulling A., Eye tracking and eye-based human- computer interaction, Advances in physiological computing., pp. 39-65, (2014); Wedel M., Pieters R., A review of eye-tracking research in marketing, Review of marketing research, pp. 123-147, (2017); Liebling D.J., Preibusch S., Privacy considerations for a pervasive eye tracking world, Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, pp. 1169-1177, (2014); Google glasses sound as crazy as smartphones and tablets once did, (2012); Wilson A., How to keep your computer awake, (2021); Lee A., This ugly t-shirt makes you invisible to facial recognition tech, (2020); Ojanen T., Making the essence of fundamental rights real: The court of justice of the european union clarifies the structure of fundamental rights under the charter: Ecj 6 october 2015, case c-362/14, maximillian schrems v data protection commissioner, European Constitutional Law Review, 12, 2, pp. 318-329, (2016); Tracol X., Schrems II: The return of the privacy shield, Computer Law & Security Review, 39, (2020); Policing in the metaverse: what law enforcement needs to know. an observatory report from the europol innovation lab, (2022); Dwivedi Y.K., Hughes L., Baabdullah A.M., Ribeiro-Navarrete S., Giannakis M., Al-Debei M.M., Dennehy D., Metri B., Buhalis D., Cheung C.M., Conboy K., Doyle R., Dubey R., Dutot V., Felix R., Goyal D., Gustafsson A., Hinsch C., Jebabli I., Janssen M., Kim Y.-G., Kim J., Koos S., Kreps D., Kshetri N., Kumar V., Ooi K.-B., Papagiannidis S., Pappas I.O., Polyviou A., Park S.-M., Pandey N., Queiroz M.M., Raman R., Rauschnabel P.A., Shirish A., Sigala M., Spanaki K., Tan G.W.-H., Tiwari M.K., Viglia G., Wamba S.F., Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy, International Journal of Information Management, 66, (2022); Rosenberg L., Regulation of the metaverse: A roadmap: The risks and regulatory solutions for largescale consumer platforms, Proceedings of the 2022 6th International Conference on Virtual and Augmented Reality Simulations, ser. ICVARS '22, pp. 21-26, (2022)","M. Jensen; Karlstad University, Sweden; email: Meiko.Jensen@kau.se","","Institute of Electrical and Electronics Engineers Inc.","Hong Kong Polytechnic University; IEEE Computer Society�s Technical Community on the Internet (TCI)","2nd IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024","12 August 2024 through 14 August 2024","Hong Kong","203995","","979-833151599-7","","","English","Proc. - IEEE Int. Conf. Metaverse Comput., Netw., Appl., MetaCom","Conference paper","Final","","Scopus","2-s2.0-85211446224"
"Sabo E.; Gesthuizen T.; Bouma K.J.A.; Karastoyanova D.; Riveni M.","Sabo, Eduard (58937910800); Gesthuizen, Tim (59316732900); Bouma, Kelvin J. A. (59316733000); Karastoyanova, Dimka (14009022300); Riveni, Mirela (55595958400)","58937910800; 59316732900; 59316733000; 14009022300; 55595958400","An analysis of mastodon adoption dynamics based on instance types","2024","Social Network Analysis and Mining","14","1","184","","","","0","10.1007/s13278-024-01341-7","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203288277&doi=10.1007%2fs13278-024-01341-7&partnerID=40&md5=2d9872aabd55e625d0984c287538a0bf","Bernoulli Institute, University of Groningen, Groningen, Netherlands","Sabo E., Bernoulli Institute, University of Groningen, Groningen, Netherlands; Gesthuizen T., Bernoulli Institute, University of Groningen, Groningen, Netherlands; Bouma K.J.A., Bernoulli Institute, University of Groningen, Groningen, Netherlands; Karastoyanova D., Bernoulli Institute, University of Groningen, Groningen, Netherlands; Riveni M., Bernoulli Institute, University of Groningen, Groningen, Netherlands","Federated social networks have become an appealing choice as alternatives to mainstream centralized platforms. In the current global context, where the user’s activity on various social networks is monitored, influenced and manipulated, alternative platforms that offer the possibility of owning and controlling one’s own data are of great importance. Mastodon stands out among decentralized alternatives in the fediverse. In this study, we conduct a time-based dynamics analysis of various Mastodon instances, from popular ones to country-specific servers. Moreover, we conducted an analysis of registration account dynamics based on certain topics, such as academic, political and activism in general. Throughout the paper, we reveal the user adoption of Mastodon from multiple instances and metrics. Our results show a growth pattern of instances in terms of accounts in certain periods of time, and due to social events, reinforcing our assumption of it being already trusted as a decentralized platform. Our work holds significance in the wider context of studying and understanding the adoption rates of decentralized networks as ethical alternatives to centrally controlled ones. © The Author(s) 2024.","Decentralized social networks; Decentralized systems; Mastodon; Privacy in networks; User adoption","Decentralized control; 'current; Centralised; Decentralised; Decentralized social network; Decentralized system; Global context; In networks; Mastodon; Privacy in network; User adoptions; Decentralized systems","","","","","","","Al-Khateeb S., Dapping into the fediverse: Analyzing what’s trending on mastodon social, Social. Cultural, and Behavioral Modeling. Springer International Publishing, Cham, pp. 101-110, (2022); Al-khateeb S., Dapping into the fediverse: analyzing what’s trending on mastodon social, Social, cultural, and behavioral modeling, pp. 101-110, (2022); Blondel V.D., Guillaume J.L., Lambiotte R., Lefebvre E., Fast unfolding of communities in large networks, J Stat Mech Theory Exp, 2008, 10, (2008); University of Groningen: Habrok High-Performance Computing Cluster. Tech. Rep., University of Groningen, (2023); Coeckelbergh M., The political philosophy of AI: an introduction, (2022); Dujeancourt E., Garz M., The effects of algorithmic content selection on user engagement with news on twitter, Inf Soc, 39, 5, pp. 263-281, (2023); Duskin K., Schafer J.S., West J.D., Spiro E.S., Echo chambers in the age of algorithms: An audit of twitter’s friend recommender system, In: Proceedings of the 16Th ACM Web Science Conference., pp. 11-21, (2024); Greschbach B., Kreitz G., Buchegger S., The devil is in the metadata—new privacy challenges in decentralised online social networks, 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, pp. 333-339, (2012); Hagberg A.A., Schult D.A., Swart P.J., Exploring network structure, dynamics, and function using networkX, Proceedings of the 7Th Python in Science Conference (Scipy2008), pp. 11-15, (2008); Hunter J.D., Matplotlib: a 2d graphics environment, Comput Sci Eng, 9, 3, pp. 90-95, (2007); Ilik V., Koster L., Information-sharing pipeline, Ser Librarian, 76, 1-4, pp. 55-65, (2019); Jeong U., Sheth P., Tahir A., Alatawi F., Bernard H.R., Liu H., ) Exploring platform migration patterns between twitter and mastodon: A user behavior study, (2023); Jeong U., Nirmal A., Jha K., Tang S.X., Bernard H.R., Liu H., User migration across multiple social media platforms, (2024); la Cava L., Aiello L.M., Tagarelli A., Get out of the nest! drivers of social infuence in the #twittermigration to mastodon, (2023); La Cava L., Greco S., Tagarelli A., Understanding the growth of the fediverse through the lens of mastodon, Appl Netw Sci, 6, 1, pp. 1-35, (2021); La Cava L., Greco S., Tagarelli A., Information consumption and boundary spanning in decentralized online social networks: the case of mastodon users, Online Soc Netw Media, 30, (2022); Lacasa G., Mastonet., (2017); Lee K., Wang M., Uses and gratifications of alternative social media: Why do people use mastodon?, (2023); Lemmer-Webber C., Tallon J., Shepherd E., Guy A., Prodromou E., (2018); McKinney W., Data structures for statistical computing in Python, Proceedings of the 9Th Python in Science Conference, pp. 56-61, (2010); Twitter, Facebook and Instagram Restricted in Venezuela on Day of Planned Protests., (2019); Newman M., Measures and metrics, In: Networks, (2018); Nicholson M.N., Brian K.C., Fiesler C., Mastodon rules: Characterizing formal rules on popular mastodon instances, pp. 86-90, (2023); Nobre G.P., Ferreira C.H.G., Almeida J.M., More of the same? A study of images shared on mastodon’s federated timeline, Social informatics, pp. 181-195, (2022); Raman A., Joglekar S., Cristofaro E.D., Sastry N., Tyson G., (, Proceedings of the Internet Measurement Conference. IMC ’19, Association for Computing Machinery, pp. 217-229, (2019); Riveni M., Mathematics of networks—centrality, (2022); Sabo E., Riveni M., Karastoyanova D., Decentralized networks growth analysis: instance dynamics on mastodon, Complex networks & their applications XII, pp. 366-377, (2024); Socialhome, (2023); Staudt C., Sazonovs A., Meyerhenke H., Networkit: An interactive tool suite for high-performance network analysis, (2014); Stokel-Walker C., Twitter may have lost more than a million users since Elon Musk took over, MIT Technology Review., pp. 1-1, (2022); Wang X., Koneru S., Rajtmajer S., The failed migration of academic twitter., (2024); Zia H.B., He J., Raman A., Castro I., Sastry N., Tyson G.; Zignani M., Gaito S., Rossi G.P., Follow the “mastodon”: Structure and evolution of a decentralized online social network, pp. 541-550, (2018); Zignani M., Quadri C., Gaito S., Cherifi H., Rossi G.P., The footprints of a “mastodon”: How a decentralized architecture influences online social relationships, In: IEEE INFOCOM 2019—IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)., pp. 472-477, (2019); Zulli D., Liu M., Gehl R., Rethinking the “social” in “social media”: insights into topology, abstraction, and scale on the mastodon social network, New Med Soc, 22, 7, SI, pp. 1188-1205, (2020)","E. Sabo; Bernoulli Institute, University of Groningen, Groningen, Netherlands; email: e.sabo@student.rug.nl","","Springer","","","","","","18695450","","","","English","Soc. Netw. Analysis Min.","Article","Final","All Open Access; Hybrid Gold Open Access","Scopus","2-s2.0-85203288277"
"La Cava L.; Greco S.; Tagarelli A.","La Cava, Lucio (57225912867); Greco, Sergio (57202439567); Tagarelli, Andrea (7004259889)","57225912867; 57202439567; 7004259889","Understanding the growth of the Fediverse through the lens of Mastodon","2021","Applied Network Science","6","1","64","","","","37","10.1007/s41109-021-00392-5","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118720113&doi=10.1007%2fs41109-021-00392-5&partnerID=40&md5=5f9ac56888a71de3b776550799b29c63","Department of Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, 87036, Italy","La Cava L., Department of Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, 87036, Italy; Greco S., Department of Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, 87036, Italy; Tagarelli A., Department of Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, 87036, Italy","Open-source, Decentralized Online Social Networks (DOSNs) are emerging as alternatives to the popular yet centralized and profit-driven platforms like Facebook or Twitter. In DOSNs, users can set up their own server, or instance, while they can actually interact with users of other instances. Moreover, by adopting the same communication protocol, DOSNs become part of a massive social network, namely the Fediverse. Mastodon is the most relevant platform in the Fediverse to date, and also the one that has attracted attention from the research community. Existing studies are however limited to an analysis of a relatively outdated sample of Mastodon focusing on few aspects at a user level, while several open questions have not been answered yet, especially at the instance level. In this work, we aim at pushing forward our understanding of the Fediverse by leveraging the primary role of Mastodon therein. Our first contribution is the building of an up-to-date and highly representative dataset of Mastodon. Upon this new data, we have defined a network model over Mastodon instances and exploited it to investigate three major aspects: the structural features of the Mastodon network of instances from a macroscopic as well as a mesoscopic perspective, to unveil the distinguishing traits of the underlying federative mechanism; the backbone of the network, to discover the essential interrelations between the instances; and the growth of Mastodon, to understand how the shape of the instance network has evolved during the last few years, also when broading the scope to account for instances belonging to other platforms. Our extensive analysis of the above aspects has provided a number of findings that reveal distinguishing features of Mastodon and that can be used as a starting point for the discovery of all the DOSN Fediverse. © 2021, The Author(s).","Community detection; Core decomposition; Decentralized online social networks; Graph pruning; Mastodon instances; Prestige ranking; Structural network analysis","Community detection; Core decomposition; Decentralised; Decentralized online social network; Graph pruning; Mastodon instance; Open-source; Prestige ranking; Structural network analysis; Through the lens; Social networking (online)","","","","","","","Abdi H., The Kendall rank correlation coefficient, Encyclopedia of Measurement and Statistics, (2007); Blondel V.D., Guillaume J.-L., Lambiotte R., Lefebvre E., Fast unfolding of communities in large networks, J Stat Mech Theory Exp, 10, (2008); Brin S., Page L., The anatomy of a large-scale hypertextual Web search engine, Comput Netw ISDN Syst, 30, 1-7, pp. 107-117, (1998); Cerisara C., Jafaritazehjani S., Oluokun A., Le H.T., Multi-task dialog act and sentiment recognition on Mastodon, Proceedings of the COLING Conference, pp. 745-754, (2018); Calio A., Tagarelli A., Bonchi F., Cores matter? An analysis of graph decomposition effects on influence maximization problems, Proceedings of the 12Th ACM Conference on Web Science (Websci), pp. 184-193, (2020); Datta A., Buchegger S., Vu L.-H., Strufe T., Rzadca K., Decentralized online social networks, Handbook of social network technologies and applications, pp. 349-378, (2010); Dianati N., Unwinding the hairball graph: pruning algorithms for weighted complex networks, Phys Rev E, 93, (2016); Fagin R., Kumar R., Sivakumar D., Comparing top k lists, SIAM J Discrete Math, 17, 1, pp. 134-160, (2003); Fisher D.N., Silk M.J., Franks D.W., The perceived assortativity of social networks: Methodological problems and solutions, Corr Arxiv, (2017); Guidi B., Conti M., Passarella A., Ricci L., Managing social contents in decentralized online social networks: a survey, Online Soc Netw Media, 7, pp. 12-29, (2018); Kitsak M., Gallos L.K., Havlin S., Liljeros F., Muchnik L., Stanley H.E., Makse H., Identification of influential spreaders in complex networks, Nat Phys, 6, 11, pp. 888-893, (2010); la Cava L., Ruffo L.E., Tagarelli A., Towards mesoscopic structural analysis of the Fediverse of decentralized social networks, Proceedings of the 9Th International Conference on Complex Networks and Their applications—book of Abstracts, (2020); Malliaros F.D., Giatsidis C., Papadopoulos A.N., Vazirgiannis M., The core decomposition of networks: theory, algorithms and applications, VLDB J, 29, 1, pp. 61-92, (2020); Newman M.E.J., Assortative mixing in networks, Phys Rev Lett, (2002); Newman M.E.J., Mixing patterns in networks, Phys Rev E, (2003); Raman A., Joglekar S., Cristofaro E.D., Sastry N., Tyson G., Challenges in the decentralised web: The Mastodon case, Proceedings of the ACM IMC Conference, pp. 217-229, (2019); Rosvall M., Bergstrom C.T., Maps of information flow reveal community structure in complex networks, Proc Natl Acad Sci (PNAS), 105, (2008); Seidman S., Network structure and minimum degree, Soc Netw, 5, pp. 269-287, (1983); Serrano M.A., Boguna M., Vespignani A., Extracting the multiscale backbone of complex weighted networks, Proc Natl Acad Sci, 106, 16, pp. 6483-6488, (2009); Trienes J., Cano A.T., Hiemstra D., Recommending users: Whom to follow on federated social networks, Corr Arxiv, (2018); Varol O., Ferrara E., Davis C.A., Menczer F., Flammini A., Online human–bot interactions: Detection, estimation, and characterization, Proceedings of the International Conference on Web and Social Media (ICWSM), pp. 280-289, (2017); Zignani M., Gaito S., Rossi G.P., Follow the “Mastodon”: Structure and evolution of a decentralized online social network, Proceedings of the International Conference on Web and Social Media (ICWSM), pp. 541-551, (2018); Zignani M., Quadri C., Gaito S., Cherifi H., Rossi G.P., The footprints of a ""Mastodon"": How a decentralized architecture influences online social relationships, Proceedings of the IEEE INFOCOM Workshops, pp. 472-477, (2019); Zulli D., Liu M., Gehl R., Rethinking the “social” in “social media”: insights into topology, abstraction, and scale on the mastodon social network, New Media Soc, 22, 7, pp. 1188-1205, (2020)","A. Tagarelli; Department of Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, 87036, Italy; email: andrea.tagarelli@unical.it","","Springer Science and Business Media Deutschland GmbH","","","","","","23648228","","","","English","Appl. Netw. Sci.","Article","Final","All Open Access; Gold Open Access","Scopus","2-s2.0-85118720113"
"Zignani M.; Quadri C.; Gaito S.; Cherifi H.; Rossi G.P.","Zignani, Matteo (36811000900); Quadri, Christian (54929336800); Gaito, Sabrina (9636090900); Cherifi, Hocine (55999019900); Rossi, Gian Paolo (35194784700)","36811000900; 54929336800; 9636090900; 55999019900; 35194784700","The Footprints of a 'Mastodon': How a Decentralized Architecture Influences Online Social Relationships","2019","INFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019","","","8845221","472","477","5","21","10.1109/INFCOMW.2019.8845221","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073207365&doi=10.1109%2fINFCOMW.2019.8845221&partnerID=40&md5=c42099c50145713087c3d8a932ad3ba3","University of Milan, Milan, Italy; LE2I UMR CNRS, University of Burgundy, Dijon, France","Zignani M., University of Milan, Milan, Italy; Quadri C., University of Milan, Milan, Italy; Gaito S., University of Milan, Milan, Italy; Cherifi H., LE2I UMR CNRS, University of Burgundy, Dijon, France; Rossi G.P., University of Milan, Milan, Italy","Decentralized online social networks (DOSNs) have recently emerged as a viable solution to preserve the users' privacy and ensure higher users' control over the contents they publish. However, little is known about the backlashes that the decentralized organization and management of these platforms may have on the overlaid social network. This paper fills the gap. Specifically, we investigate how a decentralized architecture based on distributed servers impacts the structure of the users' neighborhood and their ego-networks. Our analysis relies on social data gathered from the decentralized micro-blogging platform Mastodon, the newest and fastest-growing decentralized alternative to Twitter. Our findings highlight that the social network supported by each server, namely instance, has a specific footprint in terms of degree distribution and clustered structure of the ego-networks of its members. Further, how users connect to people hosted in other instances is heavily bound by the server they are in. Moreover, users who tend to establish relationships in outer instances prefer to use a bunch of servers. Finally, we show that the ego-networks of the users are more clustered within the instance boundary, i.e. triangles are more likely to form among members of the same instance. All these findings suggest that the decentralization drives the social network to a structure that can be potentially very different from the usual one typical of centralized online social networks. Thus, the architecture of a DOSN is a factor developers and researchers should take into account when designing this kind of social platforms. © 2019 IEEE.","clustering coefficient; decentralized online social networks; node's neighborhood; online social networks","Digital storage; Network architecture; Clustering coefficient; Decentralized architecture; Degree distributions; Micro-blogging platforms; node's neighborhood; On-line social networks; Organization and management; Social relationships; Social networking (online)","","","","","","","Chowdhury S.R., Roy A.R., Shaikh M., Daudjee K., A taxonomy of decentralized online social networks, Peer-To-Peer Networking and Applications, 8, 3, pp. 367-383, (2015); Salve A.D., Mori P., Ricci L., A survey on privacy in decentralized online social networks, Computer Science Review, 27, pp. 154-176, (2018); Bahri L., Carminati B., Ferrari E., Decentralized privacy preserving services for online social networks, Online Social Networks and Media, 6, pp. 18-25, (2018); Zyskind G., Nathan O., Et al., Decentralizing privacy: Using blockchain to protect personal data, Security and Privacy Workshops (SPW), 2015 IEEE., pp. 180-184, (2015); Lorincz L., Koltai J., Gyor A.F., Takacs K., Collapse of an online social network: Burning social capital to create it?, Social Networks, 57, pp. 43-53, (2019); Patil A., Liu J., Gao J., Predicting group stability in online social networks, Proceedings of the 22nd International Conference on World Wide Web, Ser. WWW '13, (2013); McPherson M., Smith-Lovin L., Cook J.M., Birds of a feather: Homophily in social networks, Annual Review of Sociology, 27, 1, pp. 415-444, (2001); Yang J., Leskovec J., Community-Affiliation graph model for overlapping network community detection, Proceedings of the IEEE 12th International Conference on Data Mining, Ser. ICDM '12., pp. 1170-1175, (2012); Su J., Sharma A., Goel S., The effect of recommendations on network structure, Proceedings of the 25th International Conference on World Wide Web, Ser. WWW '16, (2016); Zignani M., Gaito S., Rossi G.P., Zhao X., Zheng H., Zhao B.Y., Link and triadic closure delay: Temporal metrics for social network dynamics, Proceedings of the 8th International AAAI Conference on Weblogs and Social Media, Ser. ICWSM'14, (2014); Zignani M., Gaito S., Rossi G.P., Follow the ""mastodon"": Structure and evolution of a decentralized online social network, Proceedings of the 12th International AAAI Conference on Weblogs and Social Media, Ser. ICWSM'18, pp. 541-551, (2018); Mislove A., Koppula H.S., Gummadi K.P., Druschel P., Bhattacharjee B., Growth of the flickr social network, Proceedings of the First Workshop on Online Social Networks, Ser. WOSN '08., pp. 25-30, (2008); Myers S.A., Sharma A., Gupta P., Lin J., Information network or social network?: The structure of the twitter follow graph, Proceedings of the 23rd International Conference on World Wide Web, Ser. WWW '14., pp. 493-498, (2014); Clauset A., Shalizi C.R., Newman M.E., Power-law distributions in empirical data, SIAM Review, 51, 4, pp. 661-703, (2009)","","","Institute of Electrical and Electronics Engineers Inc.","","2019 INFOCOM IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019","29 April 2019 through 2 May 2019","Paris","152164","","978-172811878-9","","","English","INFOCOM - IEEE Conf. Comput. Commun. Workshops, INFOCOM WKSHPS","Conference paper","Final","All Open Access; Green Open Access","Scopus","2-s2.0-85073207365"
"Sabo E.; Riveni M.; Karastoyanova D.","Sabo, Eduard (58937910800); Riveni, Mirela (55595958400); Karastoyanova, Dimka (14009022300)","58937910800; 55595958400; 14009022300","Decentralized Networks Growth Analysis: Instance Dynamics on Mastodon","2024","Studies in Computational Intelligence","1144 SCI","","","366","377","11","2","10.1007/978-3-031-53503-1_30","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187657985&doi=10.1007%2f978-3-031-53503-1_30&partnerID=40&md5=1b8f00c7298569b6833dabc21171a02b","Bernoulli Institute, University of Groningen, Groningen, Netherlands","Sabo E., Bernoulli Institute, University of Groningen, Groningen, Netherlands; Riveni M., Bernoulli Institute, University of Groningen, Groningen, Netherlands; Karastoyanova D., Bernoulli Institute, University of Groningen, Groningen, Netherlands","Federated social networks have become an appealing choice as alternatives to mainstream centralized platforms. In the current global context, where the user’s activity on various social networks is monitored, influenced and manipulated, alternative platforms that offer the possibility of owning and controlling one’s own data are of great importance. Mastodon stands out among decentralized alternatives in the fediverse. In this study, we conduct a time-based dynamics analysis of Mastodon instances within a specific period. Our results show a growth pattern of instances in terms of accounts in certain periods of time, and due to social events, reinforcing our assumption of it being already trusted as a decentralized platform. Our work holds significance in the wider context of studying and understanding the adoption and evolution of decentralized platforms as ethical alternatives to Big Tech platforms. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.","decentralized systems; fediverse; Mastodon; privacy in networks; social networks","","","","","","","","Blondel V.D., Guillaume J.L., Lambiotte R., Lefebvre E., Fast unfolding of communities in large networks, J. Stat. Mech. Theory Exp, 2008, 10, (2008); Coeckelbergh M., The Political Philosophy of AI: An Introduction, (2022); Hagberg A.A., Schult D.A., Swart P.J., Exploring network structure, dynamics, and function using NetworkX, Proceedings of the 7Th Python in Science Conference (Scipy2008), pp. 11-15, (2008); Hunter J.D., Matplotlib: A 2D graphics environment, Comput. Sci. Eng., 9, 3, pp. 90-95, (2007); Ilik V., Koster L., Information-sharing pipeline, Serials Librarian, 76, 1-4, pp. 55-65, (2019); la Cava L., Aiello L.M., Tagarelli A., Get Out of the Nest! Drivers of social influence in the #Twitter migration to Mastodon, (2023); la Cava L., Greco S., Tagarelli A., Understanding the growth of the Fediverse through the lens of Mastodon, Appl. Netw. Sci., 6, 1, (2021); la Cava L., Greco S., Tagarelli A., Information consumption and boundary spanning in decentralized online social networks: The case of mastodon users, Online Soc. Netw. Media, 30, (2022); Lee K., Wang M., Uses and Gratifications of Alternative Social Media: Why Do People Use Mastodon, (2023); Lemmer-Webber C., Tallon J., Shepherd E., Guy A., Prodromou E., Activi-Typub. W3C Recommendation, (2018); McKinney W., Data structures for statistical computing in Python, Proceedings of the 9Th Python in Science Conference, pp. 56-61, (2010); Newman M., Measures and Metrics. In: Networks, (2018); Riveni M., Mathematics of Networks-Centrality. Lecture Notes, (2022); Stokel-Walker C., Twitter may have lost more than a million users since Elon musk took over. MIT Technol, Rev, (2022); Zia H.B., He J., Raman A., Castro I., Sastry N., Tyson G., Flocking to Mastodon: Tracking the Great Twitter Migration, (2023); Zignani M., Gaito S., Rossi G.P., Follow the “Mastodon”: Structure and Evolution of a Decentralized Online Social Network, pp. 541-550, (2018); Zulli D., Liu M., Gehl R., Rethinking the “social” in “social media”: Insights into topology, abstraction, and scale on the mastodon social network, New Media Soc, 22, 7, SI, pp. 1188-1205, (2020)","E. Sabo; Bernoulli Institute, University of Groningen, Groningen, Netherlands; email: e.sabo@student.rug.nl","Cherifi H.; Rocha L.M.; Cherifi C.; Donduran M.","Springer Science and Business Media Deutschland GmbH","","12th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2023","28 November 2023 through 30 November 2023","Menton","308339","1860949X","978-303153502-4","","","English","Stud. Comput. Intell.","Conference paper","Final","","Scopus","2-s2.0-85187657985"
"Trujillo M.Z.; Hébert-Dufresne L.; Bagrow J.","Trujillo, Milo Z. (57222814673); Hébert-Dufresne, Laurent (36865979800); Bagrow, James (12646442700)","57222814673; 36865979800; 12646442700","Measuring centralization of online platforms through size and interconnection of communities","2024","Online Social Networks and Media","43-44","","100292","","","","0","10.1016/j.osnem.2024.100292","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207289418&doi=10.1016%2fj.osnem.2024.100292&partnerID=40&md5=4c76862661cd37c7dfed1cd1ed53b6c5","Complex Systems Center, University of Vermont, Burlington, 05401 VT, United States","Trujillo M.Z., Complex Systems Center, University of Vermont, Burlington, 05401 VT, United States; Hébert-Dufresne L., Complex Systems Center, University of Vermont, Burlington, 05401 VT, United States; Bagrow J., Complex Systems Center, University of Vermont, Burlington, 05401 VT, United States","Decentralization of online social platforms offers a variety of potential benefits, including divesting of moderator and administrator authority among a wider population, allowing a variety of communities with differing social standards to coexist, and making the platform more resilient to technical or social attack. However, a platform offering a decentralized architecture does not guarantee that users will use it in a decentralized way, and measuring the centralization of socio-technical networks is not an easy task. In this paper we introduce a method of characterizing inter-community influence, to measure the impact that removing a community would have on the remainder of a platform. Our approach provides a careful definition of “centralization” appropriate in bipartite user-community socio-technical networks, and demonstrates the inadequacy of more trivial methods for interrogating centralization such as examining the distribution of community sizes. We use this method to compare the structure of five socio-technical platforms, and find that even decentralized platforms like Mastodon are far more centralized than any synthetic networks used for comparison. We discuss how this method can be used to identify when a platform is more centralized than it initially appears, either through inherent social pressure like assortative preferential attachment, or through astroturfing by platform administrators, and how this knowledge can inform platform governance and user trust. © 2024 Elsevier B.V.","Insularity; Social centralization; Structural influence","Cloud platforms; Decentralized control; Centralisation; Centralised; Decentralisation; Decentralised; Insularity; Online platforms; Potential benefits; Social centralization; Socio-technical networks; Structural influences; Decentralized systems","","","","","Google Open Source; Open-Source Complex Ecosystems And Networks","All authors were supported by Google Open Source under the Open-Source Complex Ecosystems And Networks (OCEAN) project. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of Google Open Source.","Gingerich D., Kuhn B.M., Give up GitHub: The time has come!, (2022); Kupferschmidt K., As musk reshapes Twitter, academics ponder taking flight, Sci. (New York, NY), 378, 6620, pp. 583-584, (2022); Hickey D., Schmitz M., Fessler D., Smaldino P.E., Muric G., Burghardt K., Auditing elon musk's impact on hate speech and bots, 17, pp. 1133-1137, (2023); Jiang J.A., Nie P., Brubaker J.R., Fiesler C., A trade-off-centered framework of content moderation, ACM Trans. Comput.-Hum. Interact., 30, 1, (2023); Davidson B.I., Wischerath D., Racek D., Parry D.A., Godwin E., Hinds J., van der Linden D., Roscoe J.F., Ayravainen L., Social media APIs: A quiet threat to the advancement of science, (2023); Zia H.B., He J., Raman A., Castro I., Sastry N., Tyson G., Flocking to mastodon: Tracking the great twitter migration, (2023); Donovan J., Lewis B., Friedberg B., Parallel ports: Sociotechnical change from the alt-right to alt-tech, Post-Digital Cultures of the Far Right: Online Actions and Offline Consequences in Europe and the US, pp. 49-65, (2019); Freeman L.C., Centrality in social networks conceptual clarification, Social Networks, 1, 3, pp. 215-239, (1978); Di Bona G., Bracci A., Perra N., Latora V., Baronchelli A., The decentralized evolution of decentralization across fields: from governance to blockchain, (2022); Beers A., Nguyen S., Sioson M., Mayanja M., Ionescu M., SPira E.S., Starbird K., The firestarting troll, and designing for abusability, (2021); The Bluesky Team A., Moderation in a public commons, (2023); Raman A., Joglekar S., Cristofaro E.D., Sastry N., Tyson G., Challenges in the decentralised web: The mastodon case, Proceedings of the Internet Measurement Conference, pp. 217-229, (2019); Zignani M., Gaito S., Rossi G.P., 12, pp. 541-550, (2018); Zignani M., Quadri C., Gaito S., Cherifi H., Rossi G.P., The footprints of a “Mastodon”: How a decentralized architecture influences online social relationships, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 472-477, (2019); La Cava L., Greco S., Tagarelli A., Understanding the growth of the fediverse through the lens of mastodon, (2021); Ostrom E., Background on the institutional analysis and development framework: Ostrom: Institutional analysis and development framework, Policy Stud. J., 39, 1, pp. 7-27, (2011); Kraut R.E., Resnick P., Building Successful Online Communities: Evidence-Based Social Design, (2012); Frey S., Krafft P.M., Keegan B.C., ”This place does what it was built for”: Designing digital institutions for participatory change, Proc. ACM Hum.-Comput. Interact., 3, pp. 1-31, (2019); Schneider N., De Filippi P., Frey S., Tan J.Z., Zhang A.X., Modular politics: Toward a governance layer for online communities, Proc. ACM Hum.-Comput. Interact., 5, pp. 1-26, (2021); Fan J., Zhang A.X., Digital juries: A civics-oriented approach to platform governance, Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-14, (2020); Nadini M., Alessandretti L., Di Giacinto F., Martino M., Aiello L.M., Baronchelli A., Mapping the NFT revolution: market trends, trade networks, and visual features, Sci. Rep., 11, 1, (2021); Bonacich P., Power and centrality: A family of measures, Am. J. Sociol., 92, 5, pp. 1170-1182, (1987); Mohar B., Isoperimetric numbers of graphs, J. Combin. Theory Ser. B, 47, 3, pp. 274-291, (1989); Butts C.T., Revisiting the foundations of network analysis, Science, 325, 5939, pp. 414-416, (2009); Albert R., Jeong H., Barabasi A.-L., Error and attack tolerance of complex networks, Nature, 406, 6794, pp. 378-382, (2000); La Cava L., Tagarelli A., Information consumption and boundary spanning in decentralized online social networks: the case of mastodon users, (2022); Fukuda M., Shudo K., Sayama H., Detecting and forecasting local collective sentiment using emojis, (2022); Kin Wai N., Horawalavithana S., Iamnitchi A., Multi-platform information operations: Twitter, facebook and youtube against the white helmets, (2021); Ao Z., Horvath G., Zhang L., Are decentralized finance really decentralized? A social network analysis of the aave protocol on the ethereum blockchain, (2022); Trujillo M.Z., Hebert-Dufresne L., Bagrow J., The penumbra of open source: projects outside of centralized platforms are longer maintained, more academic and more collaborative, EPJ Data Sci., 11, 1, (2022); Trujillo M.Z., Gruppi M., Buntain C., Horne B.D., The MeLa BitChute Dataset, 16, pp. 1342-1351, (2022); Mekacher A., Papasavva A., 16, pp. 1302-1311, (2022); Taudul B., Archiwum polskiego usenetu, (2021); Kaibel V., On the expansion of graphs of 0/1-polytopes, The Sharpest Cut: The Impact of Manfred Padberg and His Work, pp. 199-216, (2004)","M.Z. Trujillo; Complex Systems Center, University of Vermont, Burlington, 05401 VT, United States; email: milo.trujillo@uvm.edu","","Elsevier B.V.","","","","","","24686964","","","","English","Online Soc. Netw. Med.","Article","Final","","Scopus","2-s2.0-85207289418"
"Wiegmann M.; Reimer J.H.; Ernst M.; Potthast M.; Hagen M.; Stein B.","Wiegmann, Matti (57188700417); Reimer, Jan Heinrich (57218707874); Ernst, Maximilian (59150677300); Potthast, Martin (23012600600); Hagen, Matthias (16309692700); Stein, Benno (23013265500)","57188700417; 57218707874; 59150677300; 23012600600; 16309692700; 23013265500","A Mastodon Corpus to Evaluate Federated Microblog Search","2024","CEUR Workshop Proceedings","3689","","","37","49","12","0","","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194769030&partnerID=40&md5=3c426af88d7589807a7804537060a57f","Bauhaus-Universität Weimar, Weimar, 99423, Germany; Friedrich-Schiller-Universität Jena, Jena, 07743, Germany; Leipzig University, ScaDS.AI, Leipzig, 04109, Germany","Wiegmann M., Bauhaus-Universität Weimar, Weimar, 99423, Germany; Reimer J.H., Friedrich-Schiller-Universität Jena, Jena, 07743, Germany; Ernst M., Friedrich-Schiller-Universität Jena, Jena, 07743, Germany; Potthast M., Leipzig University, ScaDS.AI, Leipzig, 04109, Germany; Hagen M., Friedrich-Schiller-Universität Jena, Jena, 07743, Germany; Stein B., Bauhaus-Universität Weimar, Weimar, 99423, Germany","In this paper, we present the Webis Mastodon Corpus 2024, a collection of about 733 million public posts from the timelines of 1,015 Mastodon nodes across 61 days. Mastodon is a federated open-source microblogging platform that gained a lot of attention in 2023 as an alternative to Twitter (now rebranded as X). However, searching Mastodon is not straightforward due to its federated architecture. This presents an interesting new challenge for federated IR research, and our corpus is meant as a starting point for the new direction of federated microblog search. To ensure privacy, we host the corpus on TIREx, where it can be processed but neither read nor downloaded, with the goal of developing a shared task and a public leaderboard. We also publish our parallelized and polite Mastodon crawler alongside this paper. © 2024 Copyright for this paper by its authors.","Federated Search; Fediverse; Mastodon; Microblog Search; Open Social Media","Information retrieval; Federated architecture; Federated search; Fediverse; Mastodon; Micro-blog; Micro-blogging platforms; Microblog search; Open social medium; Open-source; Social media; Social networking (online)","","","","","European Union’s Horizon Europe research and innovation programme, (101070014)","Partially supported by the European Union\u2019s Horizon Europe research and innovation programme under grant agreement No 101070014 (OpenWebSearch.eu).","Lemmer-Webber C., Tallon J., Shepherd E., Guy A., Prodromou E., ActivityPub, W3C Recommendation, (2018); Doctorow C., As platforms decay, let’s put users first, (2023); Heule S., Nunkesser M., Hall A., HyperLogLog in practice: Algorithmic engineering of a state of the art cardinality estimation algorithm, Proceedings of EDBT/ICDT 2013, pp. 683-692, (2013); Frobe M., Reimer J., MacAvaney S., Deckers N., Reich S., Bevendorff J., Stein B., Hagen M., Potthast M., The information retrieval experiment platform, Proceedings of SIGIR 2023, 2023, pp. 2826-2836; Frobe M., Wiegmann M., Kolyada N., Grahm B., Elstner T., Loebe F., Hagen M., Stein B., Potthast M., Continuous integration for reproducible shared tasks with TIRA.io, Advances in Information Retrieval. 45th European Conference on IR Research (ECIR 2023), LNCS, 2023, pp. 236-241; Zignani M., Gaito S., Rossi G. P., Follow the “Mastodon”: Structure and evolution of a decentralized online social network, Proceedings of AAAI 2018, 12, pp. 541-550, (2018); Zulli D., Liu M., Gehl R. W., Rethinking the “social” in “social media”: Insights into topology, abstraction, and scale on the Mastodon social network, New Media Soc, 22, (2020); La Cava L., Greco S., Tagarelli A., Information consumption and boundary spanning in decentralized online social networks: The case of Mastodon users, Online Social Networks and Media, 30, (2022); Rozenshtein A. Z., Moderating the Fediverse: Content moderation on distributed social media, J. Free Speech L, 3, pp. 217-235, (2023); Gehl R. W., Zulli D., The digital covenant: Non-centralized platform governance on the Mastodon social network, Information, Communication & Society, 26, pp. 3275-3291, (2023); La Cava L., Aiello L. M., Tagarelli A., Get out of the nest! drivers of social influence in the #TwitterMigration to Mastodon, arXiv, (2023); Jeong U., Sheth P., Tahir A., Alatawi F., Bernard H. R., Liu H., Exploring platform migration patterns between Twitter and Mastodon: A user behavior study, (2023); He J., Zia H. B., Castro I., Raman A., Sastry N., Tyson G., Flocking to Mastodon: Tracking the great Twitter migration, Proceedings of IMC 2023, 2023, pp. 111-123; Trienes J., Cano A. T., Hiemstra D., Recommending users: Whom to follow on federated social networks, (2018); Statement of removal. Mastodon content warnings: Inappropriate contents in a microblogging platform, Proceedings of ICWSM 2022, 13; Rochko E., Cage the Mastodon: An overview of features for dealing with abuse and harassment, (2018); Rochko E., Mastodon 4.2: A new search experience and more!, (2023); Ounis I., Macdonald C., Lin J., Soboroff I., Overview of the TREC 2011 microblog track, Proceedings of TREC 2011, 500-296, (2011); Soboroff I., Ounis I., Macdonald C., Lin J., Overview of the TREC-2012 microblog track, Proceedings of TREC 2012, 500-298, (2012); Lin J., Efron M., Overview of the TREC-2013 microblog track, Proceedings of TREC 2013, 500-302, (2013); Lin J., Wang Y., Efron M., Sherman G., Overview of the TREC-2014 microblog track, Proceedings of TREC 2014, 500-308, (2014); Lin J., Efron M., Sherman G., Wang Y., Voorhees E. M., Overview of the TREC-2015 microblog track, Proceedings of TREC 2015, 500-319, (2015); Lin J., Roegiest A., Tan L., McCreadie R., Voorhees E. M., Diaz F., Overview of the TREC 2016 real-time summarization track, Proceedings of TREC 2016, 500-321, (2016); Lin J., Mohammed S., Sequiera R., Tan L., Ghelani N., Abualsaud M., McCreadie R., Milajevs D., Voorhees E. M., Overview of the TREC 2017 real-time summarization track, Proceedings of TREC 2017, 500-324, (2017); Sequiera R., Tan L., Lin J., Overview of the TREC 2018 real-time summarization track, Proceedings of TREC 2018, 500-331, (2018); Rao J., Yang W., Zhang Y., Ture F., Lin J., Multi-perspective relevance matching with hierarchical ConvNets for social media search, pp. 232-240, (2019); Yang W., Zhang H., Lin J. J., Simple applications of BERT for ad hoc document retrieval, (2019); Dusart A., Pinel-Sauvagnat K., Hubert G., TSSuBERT: Tweet stream summarization using BERT, (2021); Garba A., Wu S., Khalid S., Federated search techniques: An overview of the trends and state of the art, Knowl. Inf. Syst, 65, pp. 5065-5095, (2023); Demeester T., Trieschnigg D., Nguyen D., Hiemstra D., Overview of the TREC 2013 federated web search track, Proceedings of TREC 2013, 500-302, (2013); Demeester T., Trieschnigg D., Nguyen D., Hiemstra D., Zhou K., Overview of the TREC 2014 federated web search track, Proceedings of TREC 2014, 500-308, (2014); Haldane M., Chinese social media users are flocking to the decentralised Mastodon platform to find community amid crackdown at home, (2022); Maung D., Social media platform Mastodon gains thousands of new Chinese users amidst Beijing’s security pressures, (2022); Jambor S., Understanding ActivityPub part 3: The state of Mastodon, (2022)","M. Wiegmann; Bauhaus-Universität Weimar, Weimar, 99423, Germany; email: matti.wiegmann@uni-weimar.de","Farz S.M.; German Aerospace Center, Linder Hohe, Koln; Frobe M.; Friedrich-Schiller-Universitat Jena, Furstengraben 1, Jena; Hendriksen G.; Radboud University, Houtlaan 4, Nijmegen; Granitzer M.; University of Passau, Innstr. 41, Passau; Hiemstra D.; Radboud University, Houtlaan 4, Nijmegen; Potthast M.; Leipzig University, Goethestrasse 3-5, Leipzig; Zerhoudi S.; University of Passau, Innstr. 41, Passau","CEUR-WS","","1st International Workshop on Open Web Search, WOWS 2024","28 March 2024","Glasgow","199765","16130073","","","","English","CEUR Workshop Proc.","Conference paper","Final","","Scopus","2-s2.0-85194769030"
"Zignani M.; Quadri C.; Galdeman A.; Gaito S.; Rossi G.P.","Zignani, Matteo (36811000900); Quadri, Christian (54929336800); Galdeman, Alessia (57790861900); Gaito, Sabrina (9636090900); Rossi, Gian Paolo (35194784700)","36811000900; 54929336800; 57790861900; 9636090900; 35194784700","Mastodon content warnings: Inappropriate contents in a microblogging platform","2019","Proceedings of the 13th International Conference on Web and Social Media, ICWSM 2019","","","","639","645","6","10","","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070382705&partnerID=40&md5=79ca2749f555a11d0561716388c734dd","Computer Science Department, University of Milan, Milan, Italy","Zignani M., Computer Science Department, University of Milan, Milan, Italy; Quadri C., Computer Science Department, University of Milan, Milan, Italy; Galdeman A., Computer Science Department, University of Milan, Milan, Italy; Gaito S., Computer Science Department, University of Milan, Milan, Italy; Rossi G.P., Computer Science Department, University of Milan, Milan, Italy","Our social communications and the expression of our beliefs and thoughts are becoming increasingly mediated and diffused by online social media. Beyond countless other advantages, this democratization and freedom of expression is also entailing the transfer of unpleasant offline behaviors to the online life, such as cyberbullying, sexting, hate speech and, in general, any behavior not suitable for the online community people belong to. To mitigate or even remove these threats from their platforms, most of the social media providers are implementing solutions for the automatic detection and filtering of such inappropriate contents. However, the data they use to train their tools are not publicly available. In this context, we release a dataset gathered from Mastodon, a distribute online social network which is formed by communities that impose the rules of publication, and which allows its users to mark their posts inappropriate if they perceived them not suitable for the community they belong to. The dataset consists of all the posts with public visibility published by users hosted on servers which support the English language. These data have been collected by implementing an ad-hoc tool for downloading the public timelines of the servers, namely instances, that form the Mastodon platform, along with the meta-data associated to them. The overall corpus contains over 5 million posts, spanning the entire life of Mastodon. We associate to each post a label indicating whether or not its content is inappropriate, as perceived by the user who wrote it. Moreover, we also provide the full description of each instance. Finally, we present some basic statistics about the production of inappropriate posts and the characteristics of their associated textual content. Copyright © 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.","","Filtration; Automatic Detection; English languages; Micro-blogging platforms; On-line communities; On-line social networks; Online social medias; Public timelines; Social communications; Social networking (online)","","","","","","","Davidson T., Warmsley D., Macy M.W., Weber I., Automated hate speech detection and the problem of offensive language, Proceedings of the Eleventh International Conference on Web and Social Media, ICWSM 2017, pp. 512-515, (2017); Dinakar K., Reichart R., Lieberman H., Modeling the detection of textual cyberbullying, The Social Mobile Web, 11, 2, pp. 11-17, (2011); Founta A.-M., Djouvas C., Chatzakou D., Leontiadis I., Blackburn J., Stringhini G., Vakali A., Sirivianos M., Kourtellis N., Large scale crowdsourcing and characterization of twitter abusive behavior, ICWSM, (2018); Gayo-Avello D., Social media, democracy, and democratization, IEEE MultiMedia, 22, 2, pp. 10-16, (2015); Gligoric K., Anderson A., West R., How constraints affect content: The case of twitter’s switch from 140 to 280 characters, Proceedings of the Twelfth International Conference on Web and Social Media, ICWSM 2018, pp. 596-599, (2018); Jha A., Mamidi R., When does a compliment become sexist? analysis and classification of ambivalent sexism using twitter data, Proceedings of the Second Workshop on NLP and Computational Social Science, pp. 7-16, (2017); O'Keeffe G.S., Clarke-Pearson K., Et al., Clinical report-the impact of social media on children, adolescents, and families, Pediatrics Peds–2011, (2011); Ribeiro M.H., Calais P.H., Santos Y.A., Almeida V.A.F., Meira W., ”Like sheep among wolves”: Characterizing hateful users on twitter, CoRR, (2017); Salve A.D., Mori P., Ricci L., A survey on privacy in decentralized online social networks, Computer Science Review, 27, pp. 154-176, (2018); Vigna F.D., Cimino A., Dell'Orletta F., Petrocchi M., Tesconi M., Hate me, hate me not: Hate speech detection on facebook, ITASEC, (2017); Wilkinson M.D., Dumontier M., Aalbersberg I.J., Appleton G., Axton M., Baak A., Blomberg N., Boiten J.-W., da Silva Santos L.B., Bourne P.E., Et al., The fair guiding principles for scientific data management and stewardship, Scientific Data, 3, (2016); Xiang G., Fan B., Wang L., Hong J.I., Rose C.P., Detecting offensive tweets via topical feature discovery over a large scale twitter corpus, CIKM, (2012); Yenala H., Jhanwar A., Chinnakotla M.K., Goyal J., Deep learning for detecting inappropriate content in text, International Journal of Data Science and Analytics, 6, pp. 273-286, (2017); Zignani M., Gaito S., Rossi G.P., Follow the”mastodon”: Structure and evolution of a decentralized online social network, Proceedings of the Twelfth International Conference on Web and Social Media, ICWSM 2018, pp. 541-551, (2018)","","","Association for the Advancement of Artificial Intelligence","","13th International Conference on Web and Social Media, ICWSM 2019","11 June 2019 through 14 June 2019","Munich","149465","","","","","English","Proc. Int. Conf. Web Soc. Media, ICWSM","Conference paper","Final","","Scopus","2-s2.0-85070382705"
"Dunbar-Hester C.","Dunbar-Hester, Christina (23977709500)","23977709500","Showing your ass on Mastodon: Lossy distribution, hashtag activism, and public scrutiny on federated, feral social media","2024","First Monday","29","3","","","","","1","10.5210/fm.v29i3.13367","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188879214&doi=10.5210%2ffm.v29i3.13367&partnerID=40&md5=4feca95fce45f2591e66e3adf0c06cd9","University of Southern California’s Annenberg, School for Communication, Los Angeles, CA, United States","Dunbar-Hester C., University of Southern California’s Annenberg, School for Communication, Los Angeles, CA, United States","This paper presents an account of technopolitics in Mastodon, non commercial, decentralized social media. Mastodon’s significance has further risen in light of Twitter/X’s recent decimation of its public spherefunctions; a non commercial and ideally public alternative to commercial social media is (even more)urgently needed. The autoethnographic narrative presented here, hinging on a dispute initiated and sustained by an intemperate donkey keeper in Europe, is idiosyncratic, to say the least. But it revealsmeaningful aspects of the network’s features, which point to both the promise of such an architecture and tohow it falls short in hailing other users and facilitating transparent communication, two important and related functions in democratic communication online. If we appraise Mastodon in view of civic commitments, this peculiar episode contains lessons for thinking about distribution, conviviality, and theirintersections in social media. I show how Mastodon has been designed for “lossy distribution” and argue that this has implications for optimizing democratic functions of noncommercial social media. © 2024, First Monday. All rights reserved.","","","","","","","","","Adjepong A., Invading ethnography: A queer of color reflexive practice, Ethnography, 20, 1, pp. 27-46, (2019); Beard M., The public voice of women, Women’s History Review, 24, 5, pp. 809-818, (2015); Bonini T., Mazzoli E.M., A convivial-agonistic framework to theorise public service media platforms and their governing systems, New Media & Society, 24, 4, pp. 922-941, (2022); Braun J., Journalism, media research, and Mastodon: Notes on the future, Digital Journalism, (2023); Braun J., Thirty ways distribution matters, the annual International Communication Association conference (virtual), (2022); Braun J., Social media and distribution studies, Social Media + Society, (2015); Brock A., Distributed blackness: Ayo technology! Texts, identities, and Blackness, Distributed blackness: African American cybercultures, pp. 17-37, (2020); Chess S., Shaw A., A conspiracy of fishes, or, how we learned to stop worrying about#GamerGate and embrace hegemonic masculinity, Journal of Broadcasting & Electronic Media, 1, pp. 208-220, (2015); Clark M.D., DRAG THEM: A brief etymology of so-called ‘cancel culture’, Communication and the Public, 5, 3–4, pp. 88-92, (2020); Corry F., ‘LADY U SEND ME YR MOVIE:’ Constructing Joanie 4 Jackie’s feminist distribution network, Feminist Media Studies, 21, 7, (2021); Dunbar-Hester C., Hacking diversity: The politics of inclusion in open technology cultures, (2020); Dunbar-Hester C., Low power to the people: Pirates, protest, and politics in FM radio activism, (2014); Durham A.S., Home with hip hop feminism: Performances in communication and culture, (2014); Gehl R.W., Zulli D., The digital covenant: Non-centralized platform governance on the Mastodon social network, Information, Communication & Society, 23, 16, pp. 3275-3291, (2023); Hampton R., The Black feminists who saw the alt-right threat coming, Slate, (2019); Hasinoff A.A., Schneider N., From scalability to subsidiarity in addressing online harm, Social Media + Society, (2022); Illich I., Tools for conviviality, (1973); Isaac M., Conger K., Twitter suspends accounts of half a dozen journalists, New York Times, (2022); Jackson S.J., Bailey M., Welles B.F., #HashtagActivism: Networks of race and gender justice, (2020); Jang E., Baik J., Fischer K., Contact-tracing apps as boundary objects of pandemic governance: The state-by-state approach to contain the spread of COVID-19 in the United States, International Journal of Communication, 17, pp. 1737-1, (2023); Kiam R.I., Blackness in the fediverse: A conversation with Marcia X, Logic(s), (2023); Kissane E., Mastodon is easy and fun except when it isn’t, (2023); Klepper D., Musk threatens to sue researchers who documented the rise in hateful tweets, Associated Press, (2023); Koebler J., Mastodon is the good one, (2023); Korn K.U., Expecting penises in Chatroulette: Race, gender, and sexuality in anonymous online spaces, Popular Communication, 15, 2, pp. 95-109, (2017); Laser S., Pasek A., Sorensen E., Hogan M., Ojala M., Fehrenbacher J., Hepach M.G., Celik L., Ravi Kumar K., The environmental footprint of social media hosting: Tinkering with Mastodon, EASST Review, 41, 3, (2022); Lewis R., Alternative influence: Broadcasting the reactionary right on YouTube, Data & Society Research Institute, (2018); Light B., Burgess J., Duguay S., The walkthrough method: An approach to the study of apps, New Media & Society, 20, 3, pp. 881-900, (2018); Perren A., Rethinking distribution for the future of media industry studies, Cinema Journal, 52, 3, pp. 165-171, (2013); Pincus J., Mastodon and today’s fediverse are unsafe by design and unsafe by default, The Nexus of Privacy, (2023); Pincus J., Mastodon: A partial history (DRAFT), The Nexus of Privacy, (2022); Rentschler C.A., Distributed activism: Domestic violence and feminist media infrastructure in thefax age, Communication, Culture & Critique, 8, 2, pp. 182-198, (2015); (2023); Roose K., The making of a YouTube radical, New York Times, (2019); Sauter M., The coming swarm: DDOS actions, hacktivism, and civil disobedience on the Internet, (2014); Schneider N., Hasinoff A., Mastodon isn’t just a replacement for Twitter, Noëma (29November), (2022); Warner M., Publics and counterpublics, (2005); West E., Buy now: How Amazon branded convenience and normalized monopoly, (2022); Winner L., Do artifacts have politics?, Daedalusvolume, 109, 1, pp. 121-136, (1980); Zulli D., Liu M., Gehl R., Rethinking the ‘social’ in ‘social media’: Insights into topology, abstraction, and scale on the Mastodon social network, New Media & Society, 22, 7, (2020)","C. Dunbar-Hester; University of Southern California’s Annenberg, School for Communication, Los Angeles, United States; email: dunbarhe@usc.edu","","First Monday","","","","","","13960466","","","","English","First Monday","Article","Final","All Open Access; Hybrid Gold Open Access","Scopus","2-s2.0-85188879214"
"Soliman N.; Kang H.B.; Latzke M.; Bragg J.; Chang J.C.; Zhang A.X.; Karger D.R.","Soliman, Nouran (57218767426); Kang, Hyeonsu B. (57668397900); Latzke, Matthew (57224477643); Bragg, Jonathan (57188813507); Chang, Joseph Chee (57191996286); Zhang, Amy X. (55892530500); Karger, David R. (7007021839)","57218767426; 57668397900; 57224477643; 57188813507; 57191996286; 55892530500; 7007021839","Mitigating Barriers to Public Social Interaction with Meronymous Communication","2024","Conference on Human Factors in Computing Systems - Proceedings","","","151","","","","2","10.1145/3613904.3642241","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194170330&doi=10.1145%2f3613904.3642241&partnerID=40&md5=17eb1c405b757f63f000141be15f0dd6","CSAIL, Massachusetts Institute of Technology, Cambridge, MA, United States; Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, United States; Allen Institute for AI, Seattle, WA, United States; CSE, University of Washington, Seattle, WA, United States","Soliman N., CSAIL, Massachusetts Institute of Technology, Cambridge, MA, United States; Kang H.B., Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, United States; Latzke M., Allen Institute for AI, Seattle, WA, United States; Bragg J., Allen Institute for AI, Seattle, WA, United States; Chang J.C., Allen Institute for AI, Seattle, WA, United States; Zhang A.X., CSE, University of Washington, Seattle, WA, United States; Karger D.R., CSAIL, Massachusetts Institute of Technology, Cambridge, MA, United States","In communities with social hierarchies, fear of judgment can discourage communication. While anonymity may alleviate some social pressure, fully anonymous spaces enable toxic behavior and hide the social context that motivates people to participate and helps them tailor their communication. We explore a design space of meronymous communication, where people can reveal carefully chosen aspects of their identity and also leverage trusted endorsers to gain credibility. We implemented these ideas in a system for scholars to meronymously seek and receive paper recommendations on Twitter and Mastodon. A formative study with 20 scholars confirmed that scholars see benefits to participating but are deterred due to social anxiety. From a month-long public deployment, we found that with meronymity, junior scholars could comfortably ask “newbie” questions and get responses from senior scholars who they normally found intimidating. Responses were also tailored to the aspects about themselves that junior scholars chose to reveal. © 2024 Copyright held by the owner/author(s)","Identity; Online Communities; Online Safety; Partial Anonymity; Q&A; Self-Disclosure; Self-Presentation; Social Media; Social Recommendation","Identity; On-line communities; Online safety; Partial anonymity; Q&A; Self presentations; Self-disclosure; Social interactions; Social media; Social recommendation; Social networking (online)","","","","","","","Acord S.K., Harley D., Credit, time, and personality: The human challenges to sharing scholarly work using Web 2.0, New media & society, 15, 3, pp. 379-397, (2013); Andalibi N., Haimson O.L., De Choudhury M., Forte A., Understanding social media disclosures of sexual abuse through the lenses of support seeking and anonymity, Proceedings of the 2016 CHI conference on human factors in computing systems, pp. 3906-3918, (2016); Balali S., Steinmacher I., Annamalai U., Sarma A., Gerosa M.A., Newcomers' barriers... is that all? an analysis of mentors' and newcomers' barriers in OSS projects, Computer Supported Cooperative Work (CSCW), 27, pp. 679-714, (2018); Barron G., Yechiam E., Private e-mail requests and the diffusion of responsibility, Computers in Human Behavior, 18, 5, pp. 507-520, (2002); Baughan A., Petelka J., Yoo C.J., Lo J., Wang S., Paramasivam A., Zhou A., Hiniker A., Someone Is Wrong on the Internet: Having Hard Conversations in Online Spaces, Proc. 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Yu Y., Wang H., Yin G., Wang T., Reviewer recommendation for pull-requests in GitHub: What can we learn from code review and bug assignment?, Information and Software Technology, 74, pp. 204-218, (2016); Zhang J., Pennebaker J., Dumais S., Horvitz E., Configuring audiences: A case study of email communication, Proceedings of the ACM on Human-Computer Interaction, 4, CSCW1, pp. 1-26, (2020); Zhu H., Zhang A., He J., Kraut R.E., Kittur A., Effects of peer feedback on contribution: a field experiment in Wikipedia, Proceedings of the SIGCHI conference on human factors in computing systems, pp. 2253-2262, (2013); Zhu Y., Purdam K., Social media, science communication and the academic super user in the United Kingdom, First Monday, (2017)","","","Association for Computing Machinery","ACM SIGCHI","2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024","11 May 2024 through 16 May 2024","Hybrid, Honolulu","199441","","979-840070330-0","","","English","Conf Hum Fact Comput Syst Proc","Conference paper","Final","All Open Access; Green Open Access; Hybrid Gold Open Access","Scopus","2-s2.0-85194170330"
"Raman A.; Joglekar S.; De Cristofaro E.; Sastry N.; Tyson G.","Raman, Aravindh (57190405201); Joglekar, Sagar (55180320600); De Cristofaro, Emiliano (17433897300); Sastry, Nishanth (25930132500); Tyson, Gareth (25960456600)","57190405201; 55180320600; 17433897300; 25930132500; 25960456600","Challenges in the decentralised web: The Mastodon case","2019","Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC","","","","217","229","12","59","10.1145/3355369.3355572","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074824817&doi=10.1145%2f3355369.3355572&partnerID=40&md5=ebb062af98fa06c5e997f025d1249b3e","King's College, London, United Kingdom; University College, London, United Kingdom; Queen Mary University, London, United Kingdom","Raman A., King's College, London, United Kingdom; Joglekar S., King's College, London, United Kingdom; De Cristofaro E., University College, London, United Kingdom; Sastry N., King's College, London, United Kingdom; Tyson G., Queen Mary University, London, United Kingdom","The Decentralised Web (DW) has recently seen a renewed momentum, with a number of DW platforms like Mastodon, PeerTube, and Hubzilla gaining increasing traction. These offer alternatives to traditional social networks like Twitter, YouTube, and Facebook, by enabling the operation of web infrastructure and services without centralised ownership or control. Although their services differ greatly, modern DW platforms mostly rely on two key innovations: first, their open source software allows anybody to setup independent servers (“instances”) that people can sign-up to and use within a local community; and second, they build on top of federation protocols so that instances can mesh together, in a peer-to-peer fashion, to offer a globally integrated platform. In this paper, we present a measurement-driven exploration of these two innovations, using a popular DW microblogging platform (Mastodon) as a case study. We focus on identifying key challenges that might disrupt continuing efforts to decentralise the web, and empirically highlight a number of properties that are creating natural pressures towards re-centralisation. Finally, our measurements shed light on the behaviour of both administrators (i.e., people setting up instances) and regular users who sign-up to the platforms, also discussing a few techniques that may address some of the issues observed. © 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. ACM ISBN 978-1-4503-6948-0/19/10...$15.00","","Open systems; Social networking (online); Centralisation; Centralised; Decentralised; Integrated platform; Local community; Micro-blogging platforms; Peer-to-peer fashion; Web infrastructure; Open source software","","","","","Alan Turing Institute’s programme on Defence and Security; Horizon 2020 Framework Programme, H2020; Alan Turing Institute; Engineering and Physical Sciences Research Council, EPSRC, (EP/N510129/1); European Commission, EC, (691025)","Funding text 1: We would like to thank Eliot Berriot for creating mnm.social and sharing the data, as well as the ACM IMC Program Committee and in particular our shepherd, Christo Wilson, for their comments and feedback. This research was funded by The Alan Turing Institute's programme on Defence and Security, and supported by The Alan Turing Institute under the EPSRC grant EP/N510129/1 and the EU Commission under the H2020 ENCASE project (Grant No. 691025).; Funding text 2: We would like to thank Eliot Berriot for creating mnm.social and sharing the data, as well as the ACM IMC Program Committee and in particular our shepherd, Christo Wilson, for their comments and feedback. This research was funded by The Alan Turing Institute’s programme on Defence and Security, and supported by The Alan Turing Institute under the EPSRC grant EP/N510129/1 and the EU Commission under the H2020 ENCASE project (Grant No. 691025).","ActivityPub, (2018); ActivityStream, (2017); Albert R., Jeong H., Barabasi A.-L., Error and attack tolerance of complex networks, Nature, 406, (2000); Anjum N., Karamshuk D., Shikh-Bahaei M., Sastry N., Survey on peer-assisted content delivery networks, Computer Networks, 116, (2017); Bielenberg A., Helm L., Gentilucci A., Stefanescu D., Zhang H., The growth of Diaspora - A decentralized online social network in the wild, INFOCOM Workshops, (2012); Braunstein A., Luca Dall'Asta, Semerjian G., Zdeborova L., Network dismantling, Proceedings of the National Academy of Sciences, 113, (2016); Buchegger S., Schioberg D., Vu L.-H., Datta A., Peerson: P2P social networking: Early experiences and insights, EuroSys Workshop on Social Network Systems, (2009); Ranking of Autonomous Systems, (2019); Cerisara C., Jafaritazehjani S., Oluokun A., Le H., Multi-Task Dialog Act and Sentiment Recognition on Mastodon, (2018); Cha M., Haddadi H., Benevenuto F., Krishna Gummadi P., Measuring user influence in twitter: The million follower fallacy, ICWSM, (2010); Comodo Launches New Digital Certificate Searchable Web Site, (2015); Doerr B., Fouz M., Friedrich T., Why rumors spread fast in social networks, Commun. ACM, 55, (2012); Farokhmanesh M., A Beginner's Guide to Mastodon, the Hot New Open-Source Twitter Clone, (2017); (2019); Gilani Z., Farahbakhsh R., Tyson G., Crowcroft J., A Large-scale Behavioural Analysis of Bots and Humans on Twitter, ACM Transactions on the Web (TWEB), 13, (2019); Gilani Z., Farahbakhsh R., Tyson G., Wang L., Crowcroft J., Of bots and humans (on Twitter), ASONAM, (2017); Giotsas V., Dietzel C., Smaragdakis G., Feldmann A., Berger A., Aben E., Detecting peering infrastructure outages in the wild, ACM SIGCOMM, (2017); Graffi K., Gross C., Stingl D., Hartung D., Kovacevic A., Steinmetz R., Lifesocial. 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Are live social broadcasts really broadcasts?, The Web Conference, (2018); Schwittmann L., Boelmann C., Wander M., Weis T., Sonet-privacy and replication in federated online social networks, Distributed Computing Systems Workshops, (2013); Silva G., Reis L., Terceiro A., Meirelles P., Kon F., Implementing federated social networking: Report from the trenches, OpenSym, (2017); Steele C., What is Mastodon and Will It Kill Twitter?, (2017); Stigler G.J., The economies of scale, The Journal of Law and Economics, 1, (1958); Taheri-Boshrooyeh S., Kupcu A., Ozkasap O., Security and privacy of distributed online social networks, Distributed Computing Systems Workshops, (2015); Timms H., Heimans J., Commentary: #deletefacebook is just the beginning, Here's the Movement We Could See Next, (2018); Torok J., Kertesz J., Cascading collapse of online social networks, Scientific Reports, 7, (2017); Trienes J., Cano A.T., Hiemstra D., Recommending Users: Whom to Follow on Federated Social Networks, (2018); Tyson G., Elkhatib Y., Sastry N., Uhlig S., Demystifying porn 2.0: A look into a major adult video streaming website, ACM IMC, (2013); Ugander J., Karrer B., Backstrom L., Marlow C., The Anatomy of the Facebook Social Graph, (2011); Wilson C., Boe B., Sala A., Puttaswamy K.P.N., Zhao B.Y., User interactions in social networks and their implications, ACM EuroSys, (2009); Yagan O., Qian D., Zhang J., Cochran D., Conjoining speeds up information diffusion in overlaying social-physical networks, IEEE Journal on Selected Areas in Communications, 31, (2013); Zannettou S., Bradlyn B., De Cristofaro E., Kwak H., Sirivianos M., Stringini G., Blackburn J., What is Gab: A bastion of free speech or an alt-right echo chamber, WWW Companion, (2018); Zhao B.Y., Huang L., Stribling J., Rhea S.C., Joseph A.D., Kubiatowicz J.D., Tapestry: A resilient global-scale overlay for service deployment, IEEE Journal on Selected Areas in Communications, 22, (2004); Zignani M., Gaito S., Rossi G.P., Follow the “Mastodon”: Structure and evolution of a decentralized online social network, ICWSM, (2018); Zignani M., Quadri C., Galdeman A., Gaito S., Rossi G.P., Mastodon content warnings: Inappropriate contents in a microblogging platform, ICWSM, (2019)","","","Association for Computing Machinery","ACM SIGCOMM; ACM SIGMETRICS","19th ACM Internet Measurement Conference, IMC 2019","21 October 2019 through 23 October 2019","Amsterdam","153073","","978-145036948-0","","","English","Proc. ACM SIGCOMM Internet Meas. Conf. IMC","Conference paper","Final","","Scopus","2-s2.0-85074824817"
"Hassan A.I.; Raman A.; Castro I.; Tyson G.","Hassan, Anaobi Ishaku (57327103600); Raman, Aravindh (57190405201); Castro, Ignacio (54891848000); Tyson, Gareth (25960456600)","57327103600; 57190405201; 54891848000; 25960456600","The impact of Capitol Hill on Pleroma: The case for decentralised moderation","2021","CoNEXT-SW 2021 - Proceedings of the 2021 CoNEXT Student Workshop 2021 - Part of CoNEXT 2021 the 17th International Conference on emerging Networking EXperiments and Technologies","","","","1","2","1","3","10.1145/3488658.3493780","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121640633&doi=10.1145%2f3488658.3493780&partnerID=40&md5=1985343a486f9f0f41598745d6fa4717","Queen Mary University of London, United Kingdom; Telefonica Research","Hassan A.I., Queen Mary University of London, United Kingdom; Raman A., Telefonica Research; Castro I., Queen Mary University of London, United Kingdom; Tyson G., Queen Mary University of London, United Kingdom","The popularity of Decentralised Web (DWeb) platforms (e.g. Pleroma, Mastodon) has grown in recent years. This has presented users with alternatives to the well-known centralised social network platforms like Twitter, Facebook, and YouTube. In the DWeb, infrastructure and data ownership is decentralized and hence not under a single administrative authority. This paper explores the challenge of content moderation in such an environment. Specifically, we seek to motivate the need for better moderation technologies, via a use-case analysis of DWeb activity surrounding the 6th January 2021 events at Capitol Hill. Through empirical measurements, we inspect the activity of instances that have grown in popularity during this period, and explore the policies imposed on them by other instances. To do this, we inspect Pleroma, a major DWeb microblogging platform. We investigate the posts generated before, during and after the storming of Capitol Hill on the 12 largest instances in terms of user base and posts, and measure the policy reaction on them.  © 2021 ACM.","","Capitol Hill; Case analysis; Centralised; Data ownership; Decentralised; Facebook; Network platforms; Web data; Web infrastructure; YouTube; Social networking (online)","","","","","","","Bevensee E., The Decentralized Web of Hate., (2020); Hassan A.I., Raman A., Castro I., Zia H.B., Cristofaro E.D., Sastry N., Tyson G., Exploring content moderation in the decentralised web: The pleroma case, Acm CoNEXT, (2021); Raman A., Joglekar S., Cristofaro E.D., Sastry N., Tyson G., Challenges in the decentralised web: The mastodon case, Acm Imc, (2019); The Verge., (2019)","","","Association for Computing Machinery, Inc","ACM SIGCOMM","2nd ACM CoNEXT Student Workshop, CoNEXT-SW 2021, co-located with the 17th International Conference on emerging Networking EXperiments and Technologies, CoNEXT 2021","7 December 2021","Virtual, Online","175327","","978-145039133-7","","","English","CoNEXT-SW - Proc. CoNEXT Stud. Workshop - Part CoNEXT Int. Conf. Emerg. Netw. EXper. Technol.","Conference paper","Final","","Scopus","2-s2.0-85121640633"
"Zignani M.; Gaito S.; Rossi G.P.","Zignani, Matteo (36811000900); Gaito, Sabrina (9636090900); Rossi, Gian Paolo (35194784700)","36811000900; 9636090900; 35194784700","Follow the “mastodon”: Structure and evolution of a decentralized online social network","2018","12th International AAAI Conference on Web and Social Media, ICWSM 2018","","","","541","550","9","33","","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050625766&partnerID=40&md5=74e2f5cf6da86fbde577a0083ba4b123","Computer Science Department, University of Milan, Milan, Italy","Zignani M., Computer Science Department, University of Milan, Milan, Italy; Gaito S., Computer Science Department, University of Milan, Milan, Italy; Rossi G.P., Computer Science Department, University of Milan, Milan, Italy","In this paper we present a dataset containing both the network of the “follow” relationships and its growth in terms of new connections and users, all which we obtained by mining the decentralized online social network named Mastodon. The dataset is combined with usage statistics and meta-data (geographical location and allowed topics) about the servers comprising the platform-s architecture. These server are called instances. The paper also analyzes the overall structure of the Mastodon social network, focusing on its diversity w.r.t. other commercial microblogging platforms such as Twitter. Finally, we investigate how the instance-like paradigm influences the connections among the users. The newest and fastest-growing microblogging platform, Mastodon is set to become a valid alternative to established platforms like Twitter. The interest in Mastodon is mainly motivated as follows: a) the platform adopts an advertisement and recommendation-free business model; b) the decentralized architecture makes it possible to shift the control over user contents and data from the platform to the users; c) it adopts a community-like paradigm from both user and architecture viewpoints. In fact, Mastodon is composed of interconnected communities, placed on different servers; in addition, each single instance, with specific topics and languages, is independently owned and moderated. The released dataset paves the way to a number of research activities, which range from classic social network analysis to the modeling of social network dynamics and platform adoption in the early stage of the service. This data would also enable community detection validation since each instance hinges on specific topics and, lastly, the study of the interplay between the physical architecture of the platform and the social network it supports. Copyright © 2018, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.","","Network architecture; Business modeling; Community detection; Decentralized architecture; Geographical locations; Micro-blogging platforms; On-line social networks; Physical architecture; Research activities; Social networking (online)","","","","","","","Ahn Y.-Y., Han S., Kwak H., Moon S., Jeong H., Analysis of topological characteristics of huge online social networking services, Proceedings of The 16th International Conference on World Wide Web, WWW-07, (2007); Backstrom L., Huttenlocher D., Kleinberg J., Lan X., Group formation in large social networks: Membership, growth, and evolution, Proceedings of The 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD-06, pp. 44-54, (2006); Benevenuto F., Rodrigues T., Cha M., Almeida V., Characterizing user behavior in online social networks, Proceedings of The 9th ACM SIGCOMM Conference on Internet Measurement Conference, IMC- 09, pp. 49-62, (2009); Cha M., Haddadi H., Benevenuto F., Gummadi P.K., Measuring user influence in twitter: The million follower fallacy, Proceedings of The 5th International Conference on Web and Social Media, ICWSM-10, (2010); Cheng X., Dale C., Liu J., Statistics and social network of youtube videos, Proceedings of 16th International Workshop on Quality of Service, IWQoS-08, pp. 229-238, (2008); Coletto M., Aiello L.M., Lucchese C., Silvestri F., On the behaviour of deviant communities in online social networks, Proceedings of The 10th International AAAI Conference on Weblogs and Social Media, ICWSM-, 16, pp. 72-81, (2016); Gaito S., Zignani M., Rossi G.P., Sala A., Zhao X., Zheng H., Zhao B.Y., On the bursty evolution of online social networks, Proceedings of The First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research, pp. 1-8, (2012); Gonzalez R., Cuevas R., Motamedi R., Rejaie R., Cuevas A., Google+ or google-?: Dissecting the evolution of the new osn in its first year, Proceedings of The 22nd International Conference on World Wide Web, WWW-, 13, pp. 483-494, (2013); Jiang J., Wilson C., Wang X., Sha W., Huang P., Dai Y., Zhao B.Y., Understanding latent interactions in online social networks, ACM Transactions on The Web (TWEB), 7, 4, (2013); Kairam S.R., Wang D.J., Leskovec J., The life and death of online groups: Predicting group growth and longevity, Proceedings of The Fifth ACM International Conference on Web Search and Data Mining, WSDM-12, pp. 673-682, (2012); Kumar R., Novak J., Tomkins A., Structure and evolution of online social networks, Link Mining: Models, Algorithms, and Applications, pp. 337-357, (2010); Kwak H., Lee C., Park H., Moon S., What is twitter, a social network or a news media?, Proceedings of The 19th International Conference on World Wide Web, WWW-, 10, pp. 591-600, (2010); Leskovec J., Horvitz E., Planetary-scale views on a large instant-messaging network, The 17th International Conference on World Wide Web, WWW-08, pp. 915-924, (2008); Magno G., Comarela G., Saez-Trumper D., Cha M., Almeida V., New kid on the block: Exploring the google+ social graph, Proceedings of The 2012 ACM Conference on Internet Measurement Conference, IMC-, 12, pp. 159-170, (2012); Manikonda L., Hu Y., Kambhampati S., Analyzing User Activities, Demographics, Social Network Structure and User-Generated Content on Instagram, (2014); Mislove A., Marcon M., Gummadi K.P., Druschel P., Bhattacharjee B., Measurement and analysis of online social networks, Proceedings of The 7th ACM SIGCOMM Conference on Internet Measurement, IMC-07, pp. 29-42, (2007); Mislove A., Koppula H.S., Gummadi K.P., Druschel P., Bhattacharjee B., Growth of the flickr social network, Proceedings of The First Workshop on Online Social Networks, WOSN-, pp. 25-30, (2008); Myers S.A., Sharma A., Gupta P., Lin J., Information network or social network?: The structure of the twitter follow graph, Proceedings of The 23rd International Conference on World Wide Web, WWW-, 14, pp. 493-498, (2014); Schneider F., Feldmann A., Krishnamurthy B., Willinger W., Understanding online social network usage from a network perspective, Proceedings of The 9th ACM SIGCOMM Conference on Internet Measurement Conference, IMC-09, pp. 35-48, (2009); Su J., Sharma A., Goel S., The effect of recommendations on network structure, Proceedings of The 25th International Conference on World Wide Web, WWW-16, (2016); Traud A.L., Mucha P.J., Porter M.A., Social structure of facebook networks, Physica A: Statistical Mechanics and Its Applications, 391, 16, pp. 4165-4180, (2012); Ugander J., Karrer B., Backstrom L., Marlow C., The Anatomy of The Facebook Social Graph, (2011); Varol O., Ferrara E., Davis C.A., Menczer F., Flammini A., Online human-bot interactions: Detection, estimation, and characterization, Proceedings of The 11th International AAAI Conference on Weblogs and Social Media, ICWSM-17, (2017); Viswanath B., Mislove A., Cha M., Gummadi K.P., On the evolution of user interaction in facebook, Proceedings of The 2nd ACM Workshop on Online Social Networks, WOSN-09, (2009); Xie J., Kelley S., Szymanski B.K., Overlapping community detection in networks: The state-of-the-art and comparative study, ACM Computing Surveys, 45, 4, (2013); Yang J., Leskovec J., Defining and evaluating network communities based on ground-truth, Knowledge and Information Systems, 42, 1, pp. 181-213, (2015); Zhang K., Yu Q., Lei K., Xu K., Characterizing tweeting behaviors of sina weibo users via public data streaming, Web-Age Information Management, pp. 294-297, (2014); Zhang J., Hamilton W.L., Danescu-Niculescu-Mizil C., Jurafsky D., Leskovec J., Community identity and user engagement in a multi-community landscape, Proceedings of The 11th International Conference on Web and Social Media, ICWSM-17, (2017); Zhao X., Sala A., Wilson C., Wang X., Gaito S., Zheng H., Zhao B.Y., Multi-scale dynamics in a massive online social network, Proceedings of The 2012 ACM Conference on Internet Measurement Conference, IMC-, 12, pp. 171-184, (2012); Zignani M., Gaito S., Rossi G.P., Zhao X., Zheng H., Zhao B.Y., Link and triadic closure delay: Temporal metrics for social network dynamics, Proceedings of The 8th International AAAI Conference on Weblogs and Social Media, ICWSM-14, (2014)","","","AAAI Press","Association for the Advancement of Artificial Intelligence (AAAI); et al.; Facebook Reseach; Microsoft; Nexalogy; Twitter","12th International AAAI Conference on Web and Social Media, ICWSM 2018","25 June 2018 through 28 June 2018","Palo Alto","137833","","978-157735798-8","","","English","Int. AAAI Conf. Web Soc. Media, ICWSM","Conference paper","Final","","Scopus","2-s2.0-85050625766"
"Abbing R.R.; Diehm C.; Warreth S.","Abbing, Roel Roscam (58169274400); Diehm, Cade (57225094630); Warreth, Shahed (57472581700)","58169274400; 57225094630; 57472581700","Decentralised social media","2023","Internet Policy Review","12","1","","","","","6","10.14763/2023.1.1681","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151540805&doi=10.14763%2f2023.1.1681&partnerID=40&md5=873b1fe8ae37718f993b47be9ebd6f15","Malmö University, Sweden; The New Design Congress, Germany; Swansea University, United Kingdom","Abbing R.R., Malmö University, Sweden; Diehm C., The New Design Congress, Germany; Warreth S., Swansea University, United Kingdom","Social media platforms allow users to create digital identities, interact with other users, post and discover content. On mainstream social media platforms, aspects of the platform are centralised under the control of one umbrella. Decentralised social media are designed around the distribution of one or more aspects required to make social media function. Architecturally, these are data storage, content distribution, discovery, identity mechanisms and networking topology. Socially, these are their governance and revenue models. This article identifies and discusses three general types of decentralised social media grouped by architecture: federated, peer-to-peer, blockchain-based. Examples of each are discussed, along with a general description of their functioning and governance. Finally, the entry provides a general discussion of the drivers and issues around decentralised social media. © 2023, Alexander von Humboldt Institute for Internet and Society. All rights reserved.","Blockchain; Decentralisation; Fediverse; Peer-to-peer (P2P); Social media platforms","","","","","","","","Abbate J., Inventing the internet, (1999); Aichner T., Jacob F., Measuring the degree of corporate social media use, International Journal of Market Research, 57, 2, pp. 257-276, (2015); Baran P., On distributed communications networks, IEEE Transactions on Communications Systems, 12, 1, pp. 1-9, (1964); Barrett P. M., Sims J. G., False accusation: The unfounded claim that social media companies censor conservatives, pp. 1-24, (2021); Bevensee E., Rebellious Data LLC., The decentralized web of hate. White supremacists are starting to use peer-to-peer technology. Are we prepared?, pp. 1-21, (2020); Bodo B., Brekke J. K., Hoepman J.-H., Decentralisation: A multidisciplinary perspective, Internet Policy Review, 10, 2, (2021); Bory P., The internet myth: From the internet imaginary to network ideologies, (2020); boyd danah m., Ellison N. B., Social network sites: Definition, history, and scholarship, Journal of Computer-Mediated Communication, 13, 1, pp. 210-230, (2007); Caelin D., Decentralized networks vs the trolls, Fundamental challenges to global peace and security: The future of humanity, pp. 143-168, (2022); DeNardis L., Protocol politics: The globalization of internet governance, (2009); Diehl S., Web3 is bullshit [Blog post], (2021); Diehm C., This is fine: Optimism and emergency in the P2P network, (2020); Edwards E. J., Boellstorff T., Migration, non-use, and the ‘Tumblrpocalypse’: Towards a unified theory of digital exodus, Media, Culture & Society, 43, 3, pp. 582-592, (2021); Online jihadist propaganda: 2018 in review, pp. 1-28, (2021); (2020); Gillespie T., Custodians of the internet: Platforms, content moderation, and the hidden decisions that shape social media, (2018); Graber J., Ecosystem Review, pp. 1-59, (2021); Halpin H., Decentralizing the social web, INSCI’2018-5th International Conference ‘Internet Science’, (2018); Help: Zot_protocol; Kermarrec A.-M., Lavoie E., Tschudin C., Gossiping with append-only logs in Secure-Scuttlebutt, DICG’20: Proceedings of the 1st International Workshop on Distributed Infrastructure for Common Good, pp. 19-24, (2020); La Cava L., Greco S., Tagarelli A., Understanding the growth of the Fediverse through the lens of Mastodon, Applied Network Science, 6, 1, (2021); Makuch B., Pearson J., Minds, the ‘Anti-Facebook’, has no idea what to do about all the neo-nazis, (2019); Mansoux A., Roscam Abbing R., Seven theses on the Fediverse and the becoming of FLOSS, The eternal network: The ends and becomings of network culture, pp. 124-140, (2020); Masinde N., Graffi K., Peer-to-peer-based social networks: A comprehensive survey, SN Computer Science, 1, 5, (2020); Moving or leaving accounts, (2020); McCay-Peet L., Quan-Haase A., What is social media and what questions can social media research help us answer?, The SAGE handbook of social media research methods, pp. 13-26, (2017); Ottenhof L., Crypto-colonialists use the most vulnerable people in the world as guinea pigs, (2021); Ottman B., Harding M., Ottman J., Ottman J., Minds: The crypto social network, Whitepaper v0.5, pp. 1-34, (2018); Popper N., They found a way to limit big tech’s power: Using the design of Bitcoin, (2021); Rajendra-Nicolucci C., Zuckerman E., An illustrated field guide to social media, (2021); Roose K., What is web3? The latecomer’s guide to crypto, (2022); Russell A. L., Open standards and the digital age: History, ideology, and networks, (2014); Schneider N., Decentralization: An incomplete ambition, Journal of Cultural Economy, 12, 4, pp. 265-285, (2019); Simcoe T., Watson J., Forking, fragmentation, and splintering, Strategy Science, 4, 4, pp. 283-297, (2019); Steem: An incentivized, blockchain-based, public content platform, pp. 1-32, (2017); Tarr D., Lavoie E., Meyer A., Tschudin C., Secure Scuttlebutt: An identity-centric protocol for subjective and decentralized applications, ICN’19: Proceedings of the 6th ACM Conference on Information-Centric Networking, pp. 1-11, (2019); ten Oever N., “This is not how we imagined it”: Technological affordances, economic drivers, and the internet architecture imaginary, New Media & Society, 23, 2, pp. 344-362, (2021); Troncoso C., Isaakidis M., Danezis G., Halpin H., Systematizing decentralization and privacy: Lessons from 15 years of research and deployments, Proceedings on Privacy Enhancing Technologies, 2017, 4, pp. 404-426, (2017); Tschudin C., A broadcast-only communication model based on replicated append-only logs, ACM SIGCOMM Computer Communication Review, 49, 2, pp. 37-43, (2019); Valiente M.-C., Tschorsch F., Blockchain-based technologies, Internet Policy Review, 10, 2, (2021); Van Dijck J., de Winkel T., Schafer M. T., Deplatformization and the governance of the platform ecosystem, New Media & Society, (2021); Warreth S., Comparing far right and jihadi use of crowdfunding, cryptocurrencies, and blockchain technology: Accessibility, geography, ideology, (2020)","","","Alexander von Humboldt Institute for Internet and Society","","","","","","21976775","","","","English","Internet Policy Rev.","Article","Final","All Open Access; Gold Open Access","Scopus","2-s2.0-85151540805"
"Hassan A.I.; Raman A.; Castro I.; Zia H.B.; De Cristofaro E.; Sastry N.; Tyson G.","Hassan, Anaobi Ishaku (57327103600); Raman, Aravindh (57190405201); Castro, Ignacio (54891848000); Zia, Haris Bin (57204212995); De Cristofaro, Emiliano (17433897300); Sastry, Nishanth (25930132500); Tyson, Gareth (25960456600)","57327103600; 57190405201; 54891848000; 57204212995; 17433897300; 25930132500; 25960456600","Exploring content moderation in the decentralised web: The pleroma case","2021","CoNEXT 2021 - Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies","","","","328","335","7","17","10.1145/3485983.3494838","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121619036&doi=10.1145%2f3485983.3494838&partnerID=40&md5=909613b0eaba68b4f05b20ee4eb52b08","Queen Mary University of London, United Kingdom; Telefonica Research; University College London, United Kingdom; University of Surrey, United Kingdom","Hassan A.I., Queen Mary University of London, United Kingdom; Raman A., Telefonica Research; Castro I., Queen Mary University of London, United Kingdom; Zia H.B., Queen Mary University of London, United Kingdom; De Cristofaro E., University College London, United Kingdom; Sastry N., University of Surrey, United Kingdom; Tyson G., Queen Mary University of London, United Kingdom","Decentralising the Web is a desirable but challenging goal. One particular challenge is achieving decentralised content moderation in the face of various adversaries (e.g. trolls). To overcome this challenge, many Decentralised Web (DW) implementations rely on federation policies. Administrators use these policies to create rules that ban or modify content that matches specific rules. This, however, can have unintended consequences for many users. In this paper, we present the first study of federation policies on the DW, their in-the-wild usage, and their impact on users. We identify how these policies may negatively impact ""innocent""users and outline possible solutions to avoid this problem in the future. © 2021 ACM.","Collateral damage; Content moderation; Federation policies","Collateral damage; Content moderation; Decentralised; Federation policy; Unintended consequences; Web implementation","","","","","Horizon 2020 Framework Programme, H2020, (101016509, 830927, 871370, 871793); UK Research and Innovation, UKRI, (EP/V011189/1); Engineering and Physical Sciences Research Council, EPSRC, (EP/S033564/1)","Acknowledgements. This work is supported by EU H2020 grant agreements No 871793 (Accordion), No 871370 (Pimcity), and No 101016509 (Charity), as well as EPSRC EP/S033564/1 grant and the UK’s National Research Centre on Privacy, Harm Reduction, and Adversarial Influence Online (REPHRAIN, UKRI grant: EP/V011189/1).","ActivityPub, (2018); Benevenuto F., Rodrigues T., Cha M., Almeida V., Characterizing user behavior in online social networks, Imc, (2009); Binny M., Ritam D., Pawan G., Animesh M., Spread of Hate Speech in Online Social Media, (2018); Toxic Comments -Talk Documentation, (2021); Davidson T., Warmsley D., Macy M., Weber I., Automated hate speech detection and the problem of offensive language, Icwsm, (2017); Dixon L., Li J., Sorensen J., Thain N., Vasserman L., Measuring and mitigating unintended bias in text classification, Aies, 2018, (2018); Viet Doan T., Dat Pham T., Oberprieler M., Bajpai V., Measuring decentralized video streaming: A case study of dtube, Ifip Networking 2020, (2020); Farokhmanesh M., A Beginner's Guide to Mastodon, the Hot New Opensource Twitter Clone, (2017); Fortuna P., Soler-Company J., Wanner L., Toxic, hateful, offensive or abusive? What are we really classifying? An empirical analysis of hate speech datasets, Lrec, (2020); Guidi B., Conti M., Passarella A., Ricci L., Managing social contents in decentralized online social networks: A survey, Online Social Networks and Media, (2018); Halevy A., Canton-Ferrer C., Ma H., Ozertem U., Pantel P., Saeidi M., Silvestri F., Stoyanov V., Preserving integrity in online social networks, ArXiv, (2020); Kaune S., Pussep K., Leng C., Kovacevic A., Tyson G., Steinmetz R., Modelling the internet delay space based on geographical locations, Euromicro International Conference on Parallel, Distributed and Network-based Processing, (2009); La Cava L., Greco S., Tagarelli A., Understanding the growth of the fediverse through the lens of mastodon, Applied Network Science, 6; Mathew B., Illendula A., Saha P., Sarkar S., Goyal P., Mukherjee A., Hate begets hate: A temporal study of hate speech, Proceedings of the Acm on Human-Computer Interaction, 4, (2020); Mega G., Montresor A., Pietro Picco G., Efficient dissemination in decentralized social networks, Ieee International Conference on Peer-to-Peer Computing, (2011); Pavlopoulos J., Thain N., Dixon L., Androutsopoulos I., Offensive Language Identification and Categorization with Perspective and Bert, (2019); Perspective, (2021); Perspective, (2021); Perspective, (2021); Perspective, (2021); Rajadesingan A., Resnick P., Budak C., Quick, communityspecific learning: How distinctive toxicity norms are maintained in political subreddits, Icwsm, (2020); Raman A., Joglekar S., De Cristofaro E., Sastry N., Tyson G., Challenges in the decentralised web: The mastodon case, Acm Imc, (2019); Horta Ribeiro M., Calais P., Santos Y., Almeida V., Meira W., Characterizing and detecting hateful users on twitter, Icwsm, (2018); Horta Ribeiro M., Jhaver S., Zannettou S., Blackburn J., Stringhini G., De Cristofaro E., West R., Do platform migrations compromise content moderation? Evidence from r/the-donald and r/incels, Proceedings of the Acm on Human-Computer Interaction, 5, (2021); Rye E., Blackburn J., Beverly R., Reading in-between the lines: An analysis of dissenter, Acm Imc, (2020); The Conversation Ai Github Organization, (2019); The Copia Institute, (2021); Zannettou S., I won the election!"": An empirical analysis of soft moderation interventions on twitter, Icwsm, (2021); Zannettou S., Bradlyn B., De Cristofaro E., Kwak H., Sirivianos M., Stringini G., Blackburn J., What is gab: A bastion of free speech or an alt-right echo chamber?, Companion Proceedings of the the Web Conference, 2018, (2018); Zignani M., Galto S., Paolo Rossi G., Followthe ""mastodon"": Structure and evolution of a decentralized online social media, Icwsm, (2018); Zignani M., Quadri C., Gaito S., Cherifi H., Paolo Rossi G., The footprints of a 'mastodon': How a decentralized architecture influences online social relationships, Infocom 2019, (2019); Zignani M., Quadri C., Galdeman A., Gaito S., Paolo Rossi G., Mastodon content warnings: Inappropriate contents in a microblogging platform, Icwsm 2019, (2019)","","","Association for Computing Machinery, Inc","ACM SIGCOMM","17th ACM International Conference on emerging Networking EXperiments and Technologies, CoNEXT 2021","7 December 2021 through 10 December 2021","Virtual, Online","175324","","978-145039098-9","","","English","CoNEXT - Proc. Int. Conf. Emerg. Netw. EXper. Technol.","Conference paper","Final","All Open Access; Green Open Access","Scopus","2-s2.0-85121619036"
"Quian A.; López-García X.; Soengas-Pérez X.","Quian, Alberto (57195241829); López-García, Xosé (27567870600); Soengas-Pérez, Xosé (56033302300)","57195241829; 27567870600; 56033302300","Newspapers and alternative social networks in the fediverse: A study of the presence of digital native and legacy media on mastodon; [Periódicos y redes sociales alternativas del Fediverso: Estudio de la presencia de medios nativos digitales y matriciales en Mastodon]","2025","Revista Latina de Comunicacion Social","2025","83","","1","40","39","0","10.4185/rlcs-2025-2338","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208074522&doi=10.4185%2frlcs-2025-2338&partnerID=40&md5=074da6d98d3e86bf98b64840e85d0bff","Universidade de Santiago de Compostela, Spain","Quian A., Universidade de Santiago de Compostela, Spain; López-García X., Universidade de Santiago de Compostela, Spain; Soengas-Pérez X., Universidade de Santiago de Compostela, Spain","Introduction: This study analyses the presence of newspapers on Mastodon, the most popular social platform in the Fediverse and an alternative to X (Twitter) in this ecosystem of decentralized and interoperable networks. Methodology: A subsample of newspapers (n=20) and accounts (n=28) on Mastodon was obtained from a sample (n=38) of digital native and legacy media in Spain. Official and unofficial, bots and non-automated, active and inactive accounts, instances where they are hosted, and links to Mastodon on media websites were identified. We also identified the date the accounts were created to check if they appeared before or after Elon Musk’s purchase of Twitter, which boosted Mastodon’s popularity. Results: We located 13 official accounts (10 native and 3 legacy), none on owned instances, and 15 unofficial accounts (9 legacy and 6 native) connected via RSS by Mastodon instances administrators. Legacy media show a higher proportion of active accounts than digital natives. The proportion of automated accounts is high for both categories. A ‘Musk effect’ is observed in accounts creation. Only elDiario.es and El Salto (digital natives) offer links on their websites. El País (legacy) has the oldest account, and El Salto is the one that shows the greatest commitment to Mastodon. Discussion: The analyzed media do not take advantage of the full potential of the technological sovereignty provided by Mastodon. Conclusions: The template used, and the results open up new lines for academic research on a social platform (Mastodon) and an ecosystem (Fediverse) barely explored in the journalistic field. © 2025 HISIN (History of Information Systems). All rights reserved.","alternative social networks; decentralization; Elon Musk; Fediverse; Mastodon; news media; Twitter","","","","","","I+D+i Medios nativos digitales en España, (PID2021-122534OB-C21, MICIU/AEI/10.13039/501100011033)","Esta publicaci\u00F3n es parte del proyecto de I+D+i Medios nativos digitales en Espa\u00F1a: estrategias, competencias, implicaci\u00F3n social y (re)definici\u00F3n de pr\u00E1cticas de producci\u00F3n y difusi\u00F3n period\u00EDsticas (PID2021-122534OB-C21), financiado por MICIU/AEI/10.13039/501100011033 y \u201CFEDER/UE\u201D.","Abbing R. R., Gehl R. W., Shifting your research from X to Mastodon? Here’s what you need to know, Patterns, 5, 1, (2024); Al-khateeb S., Dapping into the Fediverse: Analyzing What’s Trending on Mastodon Social, Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2022. Lecture Notes in Computer Science, (2022); Al Najjar-Trujillo T., Arevalo-Salinas A. 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C., Jimenez Sanchez Alvaro, Gomez Pila M. E., La información sobre la COVID-19 en los medios digitales ecuatorianos, Revista de Comunicación y Salud, 14, (2024)","","","HISIN (History of Information Systems)","","","","","","11385820","","","","Spanish","Rev. Lat. Comun. Soc.","Article","Final","All Open Access; Gold Open Access","Scopus","2-s2.0-85208074522"
"Kasnesis P.; Heartfield R.; Toumanidis L.; Liang X.; Loukas G.; Patrikakis C.","Kasnesis, Panagiotis (57044812500); Heartfield, Ryan (55931830200); Toumanidis, Lazaros (56403427900); Liang, Xing (59067828700); Loukas, George (22951089500); Patrikakis, C. (8244299800)","57044812500; 55931830200; 56403427900; 59067828700; 22951089500; 8244299800","A prototype deep learning paraphrase identification service for discovering information cascades in social networks","2020","2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020","","","9106044","","","","7","10.1109/ICMEW46912.2020.9106044","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091764530&doi=10.1109%2fICMEW46912.2020.9106044&partnerID=40&md5=28be031857d8f6aab90e37489db8b7c8","","","Identifying the provenance of information posted on social media and how this information may have changed over time can be very helpful in assessing its trustworthiness. Here, we introduce a novel mechanism for discovering ""post-based""information cascades, including the earliest relevant post and how its information has evolved over subsequent posts. Our prototype leverages multiple innovations in the combination of dynamic data sub-sampling and multiple natural language processing and analysis techniques, benefiting from deep learning architectures. We evaluate its performance on EMTD, a dataset that we have generated from our private experimental instance of the decentralised social network Mastodon, as well as the benchmark Microsoft Research Paraphrase Corpus, reporting no errors in sub-sampling based on clustering, and an average accuracy of 92% and F1 score of 93% for paraphrase identification.  © 2020 IEEE.","Clustering; Deep Learning; Information Cascade; Paraphrase Identification","Benchmarking; Natural language processing systems; Analysis techniques; Decentralised; Information cascades; Learning architectures; Microsoft researches; NAtural language processing; Paraphrase corpus; Paraphrase identifications; Deep learning","","","","","European Union’s H2020 innovation action programme; Horizon 2020 Framework Programme, H2020, (825171); Horizon 2020 Framework Programme, H2020","Work presented in this paper has been supported through funding from the European Union’s H2020 innovation action programme under EUNOMIA project, grant agreement No. 825171.","Eunomia Eu h2020 Project, (2020); Subbian K., Aditya Prakash B., Adamic L., Detecting large reshare cascades in social networks, Proceedings of the 26th International Conference on World Wide Web, pp. 597-605, (2017); Xie W., Zhu F., Xiao J., Wang J., Social network monitoring for bursty cascade detection, ACM Transactions on Knowledge Discovery from Data (TKDD), 12, 4, pp. 1-24, (2018); Vaswani A., Shazeer N., Parmar N., Uszkoreit J., Jones L., Gomez A.N., Kaiser L., Polosukhin I., Attention is all you need, NIPS, (2017); Fan B., Andersen D.G., Kaminsky M., Mitzenmacher M., Cuckoo filter: Practically better than bloom, CoNEXT '14, (2014); Liu Y., Ott M., Goyal N., Du J., Joshi M., Chen D., Levy O., Lewis M., Zettlemoyer L., Stoyanov V., Roberta: A Robustly Optimized Bert Pretraining Approach, (2019); Devlin J., Chang M., Lee K., Toutanova K., Bert: Pre-training of deep bidirectional transformers for language understanding, NAACL-HLT, (2019); Matthew Cer D., Yang Y., Yi Kong S., Hua N., Limtiaco N., Rhomni St John C.N., Guajardo-Cespedes M., Yuan S., Tar C., Sung Y., Strope B., Kurzweil R., Universal Sentence Encoder, (2018); Dolan W.B., Brockett C., Automatically constructing a corpus of sentential paraphrases, IWP@IJCNLP, (2005); Wang A., Singh A., Michael J., Hill F., Levy O., Bowman S.R., Glue: A multi-task benchmark and analysis platform for natural language understanding, BlackboxNLP@EMNLP, (2018); Toumanidis L., Heartfield R., Kasnesis P., Loukas G., Patrikakis C.Z., A prototype framework for assessing information provenance in decentralised social media: The eunomia concept, E-Democracy, (2019)","","","Institute of Electrical and Electronics Engineers Inc.","et al.; IEEE; Springer; Tencent Media Lab; The Institution of Engineering and Technology (IET); YouTube","2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020","6 July 2020 through 10 July 2020","London","162345","","978-172811485-9","","","English","IEEE Int. Conf. Multimed. Expo Workshops, ICMEW","Conference paper","Final","All Open Access; Green Open Access","Scopus","2-s2.0-85091764530"
"Theophilos J.A.","Theophilos, Jamie A. (59491149900)","59491149900","Closing the Door to Remain Open: The Politics of Openness and the Practices of Strategic Closure in the Fediverse","2024","Social Media and Society","10","4","","","","","0","10.1177/20563051241308323","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213395407&doi=10.1177%2f20563051241308323&partnerID=40&md5=247f29412e0e9e9bf318e3ef002257bb","Indiana University Bloomington, United States","Theophilos J.A., Indiana University Bloomington, United States","In early 2023, Meta announced that its new microblogging platform, Threads, would join the Fediverse, a network of free, open-source social media platforms. This decision created a rift within the Fediverse, with some users supporting Meta’s integration while others strongly opposing it. This research explores the practices and discourses of the latter group—users, developers, and server administrators—who aim to build a safer and more autonomous “free Fediverse.” By framing the Free Fediverse as a digital counterpublic, this article introduces the concept of “strategic closure” to illustrate how these actors resist corporate capture and maintain a safer online environment. Drawing on the theoretical frameworks of sociomateriality and the politics of openness, my analysis highlights the entanglement between discursive and material aspects of these counterpublic practices. This study contributes to the broader discourse on alternative social media politics, emphasizing the ongoing negotiations between openness, safety, and technological design, and offers insights from Science and Technology Studies (STS) for understanding counterpublics in the age of Big Tech. © The Author(s) 2024.","digital counterpublic; fediverse; FOSS; politics of openness; sociomaterial","","","","","","","","Akrich M., The description of technical objects, Shaping technology/building society: Studies in sociotechnical change, pp. 215-224, (1993); Surveillance giants: How the business model of Google and Facebook threatens human rights, (2019); Anaobi I.H., Raman A., Castro I., Zia H.B., Ibosiola D., Tyson G., Will admins cope? 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Theophilos; The Media School, Indiana University Bloomington, Bloomington, 47405, United States; email: jatheoph@iu.edu","","SAGE Publications Ltd","","","","","","20563051","","","","English","Social Media Soc.","Article","Final","","Scopus","2-s2.0-85213395407"
"La Cava L.; Greco S.; Tagarelli A.","La Cava, Lucio (57225912867); Greco, Sergio (57202439567); Tagarelli, Andrea (7004259889)","57225912867; 57202439567; 7004259889","Discovering the Landscape of Decentralized Online Social Networks through Mastodon","2022","CEUR Workshop Proceedings","3194","","","207","214","7","0","","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137420937&partnerID=40&md5=0c4bc11cf084e67ad9d80650d3cf2f87","Dept. Computer Engineering Modeling Electronics and Systems Engineering (DIMES), University of Calabria, CS, Rende, 87036, Italy","La Cava L., Dept. Computer Engineering Modeling Electronics and Systems Engineering (DIMES), University of Calabria, CS, Rende, 87036, Italy; Greco S., Dept. Computer Engineering Modeling Electronics and Systems Engineering (DIMES), University of Calabria, CS, Rende, 87036, Italy; Tagarelli A., Dept. Computer Engineering Modeling Electronics and Systems Engineering (DIMES), University of Calabria, CS, Rende, 87036, Italy","Decentralized Online Social Networks (DOSNs) are gaining popularity in the social media landscape as a concrete alternative to the centralized and profit-driven counterparts, such as Facebook or Twitter. By leveraging open-source software and specific protocols, DOSNs allow users to create their own instance (i.e., server) and federate to an extensive interconnected social network called Fediverse, where users can transparently communicate with each other, even if registered to different instances. Mastodon represents the most successful service in the Fediverse to date, and in recent years, it has drawn great attention from the research community. In this paper, we discuss our recent study [1], which contributed to advance research on Mastodon and the Fediverse. First, we built the most up-to-date and representative dataset of Mastodon. Upon this dataset, we defined the network of Mastodon instances and exploited it to shed light on the key macroscopic and mesoscopic structural features of Mastodon to unveil the fundamental pillars of the underlying federative mechanism; the backbone of the network, to unveil the essential interrelations between the instances; and the growth of Mastodon, also accounting for instances belonging to other services. © 2022 CEUR-WS. All rights reserved.","community detection; core decomposition; decentralized online social networks; graph pruning; Mastodon instances; structural network analysis","Open source software; Open systems; Centralised; Community detection; Concrete alternative; Core decomposition; Decentralised; Decentralized online social network; Graph pruning; Mastodon instance; Social media; Structural network analysis; Social networking (online)","","","","","","","La Cava L., Greco S., Tagarelli A., Understanding the growth of the Fediverse through the lens of Mastodon, Appl. Netw. Sci, 6, (2021); Guidi B., Conti M., Passarella A., Ricci L., Managing social contents in decentralized online social networks: A survey, Online Soc. Networks Media, 7, pp. 12-29, (2018); Datta A., Buchegger S., Vu L.-H., Strufe T., Rzadca K., Handbook of social network technologies and applications, pp. 349-378, (2010); Cerisara C., Jafaritazehjani S., Oluokun A., Le H. 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N., Vazirgiannis M., The core decomposition of networks: theory, algorithms and applications, VLDB J, 29, pp. 61-92, (2020); Calio A., Tagarelli A., Bonchi F., Cores matter?. an analysis of graph decomposition effects on influence maximization problems, Proc. ACM Web Science, pp. 184-193, (2020); Serrano M. A., Boguna M., Vespignani A., Extracting the multiscale backbone of complex weighted networks, Proceedings of the National Academy of Sciences, 106, pp. 6483-6488, (2009); Dianati N., Unwinding the hairball graph: Pruning algorithms for weighted complex networks, Physical Review E, 93, (2016); Abdi H., The Kendall Rank Correlation Coefficient, Encyclopedia of Measurement and Statistics, (2007); Fagin R., Kumar R., Sivakumar D., Comparing Top k Lists, SIAM Journal on Discrete Mathematics, 17, pp. 134-160, (2003); La Cava L., Greco S., Tagarelli A., Information Consumption and Boundary Spanning in Decentralized Online Social Networks: the case of Mastodon Users, Online Social Networks and Media, (2022); La Cava L., Greco S., Tagarelli A., Network Analysis of the Information Consumption-Production Dichotomy in Mastodon User Behaviors, Proc. AAAI Conference on Web and Social Media (ICWSM), (2022)","","Amato G.; Bartalesi V.; Bianchini D.; Gennaro C.; Torlone R.","CEUR-WS","","30th Italian Symposium on Advanced Database Systems, SEBD 2022","19 June 2022 through 20 June 2022","Tirrenia","182200","16130073","","","","English","CEUR Workshop Proc.","Conference paper","Final","","Scopus","2-s2.0-85137420937"
"La Cava L.L.; Aiello L.M.; Tagarelli A.","La Cava, Lucio (57225912867); Aiello, Luca Maria (25630530900); Tagarelli, Andrea (7004259889)","57225912867; 25630530900; 7004259889","Drivers of social influence in the Twitter migration to Mastodon","2023","Scientific Reports","13","1","21626","","","","10","10.1038/s41598-023-48200-7","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178871996&doi=10.1038%2fs41598-023-48200-7&partnerID=40&md5=ccb9870e66050c1e6c0bed877f0f0398","University of Calabria, Rende, Italy; IT University of Copenhagen, Copenhagen, Denmark; Pioneer Centre for AI, Copenhagen, Denmark","La Cava L.L., University of Calabria, Rende, Italy; Aiello L.M., IT University of Copenhagen, Copenhagen, Denmark, Pioneer Centre for AI, Copenhagen, Denmark; Tagarelli A., University of Calabria, Rende, Italy","The migration of Twitter users to Mastodon following Elon Musk’s acquisition presents a unique opportunity to study collective behavior and gain insights into the drivers of coordinated behavior in online media. We analyzed the social network and the public conversations of about 75,000 migrated users and observed that the temporal trace of their migrations is compatible with a phenomenon of social influence, as described by a compartmental epidemic model of information diffusion. Drawing from prior research on behavioral change, we delved into the factors that account for variations of the effectiveness of the influence process across different Twitter communities. Communities in which the influence process unfolded more rapidly exhibit lower density of social connections, higher levels of signaled commitment to migrating, and more emphasis on shared identity and exchange of factual knowledge in the community discussion. These factors account collectively for 57% of the variance in the observed data. Our results highlight the joint importance of network structure, commitment, and psycho-linguistic aspects of social interactions in characterizing grassroots collective action, and contribute to deepen our understanding of the mechanisms that drive processes of behavior change of online groups. © 2023, The Author(s).","","Animals; Communication; Humans; Mastodons; Social Media; animal; human; interpersonal communication; mastodon; social media","","","","","PNRR FAIR, (H23C22000860006); Carlsbergfondet, (CF21-0432); Carlsbergfondet","LMA acknowledges the support from the Carlsberg Foundation through the COCOONS project (CF21-0432). AT is partly funded by the PNRR FAIR project (H23C22000860006, M4C21.3 spoke 9). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ","Kasinathan G., Musk’s twitter acquisition, Econ. Polit. 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"Frost-Arnold K.","Frost-Arnold, Karen (55293701700)","55293701700","Beyond Corporate Social Media Platforms: The Epistemic Promises and Perils of Alternative Social Media","2024","Topoi","","","","","","","0","10.1007/s11245-024-10102-2","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206603847&doi=10.1007%2fs11245-024-10102-2&partnerID=40&md5=ea01911587ffb9d58143a4b2fad00733","Philosophy, Hobart & amp; William Smith Colleges, 300 Pulteney St, Geneva, 14456, NY, United States; The African Centre for Epistemology and Philosophy of Science, University of Johannesburg, Johannesburg, South Africa","Frost-Arnold K., Philosophy, Hobart & amp; William Smith Colleges, 300 Pulteney St, Geneva, 14456, NY, United States, The African Centre for Epistemology and Philosophy of Science, University of Johannesburg, Johannesburg, South Africa","In recent years, we have witnessed increased interest in alternatives to the dominant corporate social media sites, such as Facebook, Twitter (now X), and TikTok. Tired of disinformation, harassment, privacy violations, and the general degradation of platforms, users and technologists have looked for non-corporate alternatives. Not-for-profit social media platforms emerging from free/libre and open-source software (FLOSS) communities based on non-centralized infrastructure have emerged as promising alternatives. For applied epistemology of the internet, these alternative social media platforms present an opportunity to study different ways of producing knowledge together online. This paper evaluates the epistemic potential for such alternative, non-corporate social media. I present an epistemological framework for analyzing the epistemic promises and perils of alternative social media. Then I apply this framework to the case of Mastodon, a federated, open-source microblogging platform. Mastodon’s structure and culture of openness present opportunities to avoid many of the epistemic perils of biased and untrustworthy large corporate platforms. However, Mastodon’s risks include techno-elitism, white ignorance, and isolated, epistemically toxic communities. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.","Alternative social media; Corporate social media; Epistemic injustice; Federation; Ignorance; Mastodon; Moderation; Objectivity; Ontological expansiveness; Open-source; Promises and perils; Social epistemology; Social media; Veritism; Virtue epistemology","","","","","","","","Alfano M., Fard A.E., Adam Carter J., Clutton P., Klein C., Technologically scaffolded atypical cognition: the case of youtube’s recommender system, Synthese, 199, 1, pp. 835-858, (2021); Anderau G., Fake news and epistemic flooding, Synthese, 202, 4, (2023); Angwin J., Grassegger H., Facebook’s secret censorship rules protect white men from hate speech but not black children., (2017); Barbarrusa D., Medina Vizuete L., Am I Still Young at 20? 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Princeton Studies in Culture and Technology, (2020); Dunbar-Hester C., Showing your ass on Mastodon: Lossy distribution, hashtag activism, and public scrutiny on federated, feral social media, First Monday, (2024); Dwoskin E., Tiku N., Kelly H., Facebook to Start Policing Anti-Black Hate Speech More Aggressively than Anti-White Comments, Documents Show., (2020); Ehmke C.A., Dimensions of Digital Coercion., (2023); Elliott V., Twitter Really is Worse than Ever, (2023); Facebook’s Civil Rights Audit—Final Report, (2020); Fantl J., Fake news vs. echo chambers, Soc Epistemol, 35, 6, pp. 645-659, (2021); Flowers J., Hendrix J., The whiteness of Mastodon, Podcast, (2022); Forristal L., Threads opens beta to let users connect their accounts to the fediverse, Techcrunch., (2024); Frost-Arnold K., Who should we be online? A social epistemology for the internet, (2023); Furman K., Epistemic bunkers, Soc Epistemol, 37, 2, pp. 197-207, (2023); Gehl R.W., The case for alternative social media, Soc Media Soc, (2015); Gehl R.W., Zulli D., The digital covenant: non-centralized platform governance on the mastodon social network, Inform Commun Soc, (2022); GNU Project. N.D. “What is Free Software?” GNU Operating System.; Goldman A.I., Knowledge in a social world, (1999); Gorwa R., Binns R., Katzenbach C., Algorithmic content moderation: technical and political challenges in the automation of platform governance, Big Data Soc, (2020); Habgood-Coote J., Towards a critical social epistemology of social media, Oxford handbook of social epistemology, (2024); Habgood-Coote J., Ashton N., El Kassar N., Receptive publics, Ergo, 11, 5, pp. 113-149, (2024); Twitter Usage in US ‘Fallen by a Fifth’ since Elon Musk’s Takeover. the Guardian, (2024); Johnson D.G., emerging technology as promise and peril, The Oxford handbook of philosophy of technology, pp. 646-662, (2021); Kaye D., Speech police: the global struggle to govern the internet, (2019); Break the hold of digital colonialism., (2018); Kwet M., Digital colonialism: US empire and the new imperialism in the Global South, Race & Class, 60, 4, pp. 3-26, (2019); To fix facebook, we need to socialise the networks, The Mail & Guardian., (2021); Lackey J., Echo chambers, fake news, and social epistemology, The epistemology of fake news, pp. 206-227, (2021); Levy N., Echoes of covid misinformation, Philos Psychol, 36, 5, pp. 931-948, (2023); Mannell K., Smith E.T., Alternative social media and the complexities of a more participatory culture: a view from scuttlebutt, Soc Media Soc, 8, 3, (2022); Mastodon Server Covenant for Joinmastodon.Org. n.d.; Decolonising Knowledge and the Question of the Archive, (2015); Medina Vizuete L., What about My True Beliefs? On the Construction of Our Collective Memory Online, Daimon: The International Journal of Philosophy., (2024); Mills C., White Ignorance, Race and epistemologies of ignorance, pp. 26-31, (2007); Mitova V., Decolonising knowledge here and now, Philos Pap, 49, 2, pp. 191-212, (2020); Munroe W., Echo chambers, polarization, and ‘post-truth’ in search of a connection, Philos Psychol, pp. 1-32, (2023); Nguyen C.T., Echo chambers and epistemic bubbles, Episteme, 17, 2, pp. 141-161, (2020); Nguyen C.T., Was It polarization or propaganda?, J Philos Res, 46, pp. 173-191, (2021); Perez S., Mastodon actually has 407K+ more monthly users than it thought, Techcrunch, (2023); Quijano A., Coloniality and modernity/rationality, Cult Stud, 21, 2-3, pp. 168-178, (2007); Raman A., Joglekar S., de Cristofaro E., Sastry N., Tyson G (2019) Challenges in the decentralised web: The mastodon case, Proceedings of the Internet Measurement Conference. IMC ’19, pp. 217-229; Roberts S.T., Behind the screen: content moderation in the shadows of social media, (2019); Roose K., Conger K., (2019); Rozenshtein A.Z., Moderating the fediverse: content moderation on distributed social media, (2022); (2018); Santos B.R.G., Echo chambers, ignorance and domination, Soc Epistemol, 35, 2, pp. 109-119, (2020); Siapera E., AI Content Moderation, Racism and (de)Coloniality, Int J Bullying Prev, 4, 1, pp. 55-65, (2022); Silberling A., Stringer A., Corrall C., What Is Bluesky? Everything to know about the app trying to replace twitter, Techcrunch, (2024); What is up with All the Content Warnings on Mastodon?, (2022); Stevenson M., Pinto C.V., Distinction and alternative tech: exploring the techno-critical disposition, New Media Soc, (2024); Stewart H., Cichocki E., McLeod C., A perfect storm for epistemic injustice: algorithmic targeting and sorting on social media, Fem Philos Quarterly, (2022); Sullivan S., Revealing whiteness: the unconscious habits of racial privilege, (2006); Talisse R.B., Overdoing democracy: why we must put politics in its place, (2021); Valens A., Mastodon is crumbling—and Many Blame Its Creator, (2019); York J., Silicon values: the future of free speech under surveillance capitalism, (2021); The Case for Digital Public Infrastructure, (2020); Zuckerman E., Rajendra-Nicolucci C., Deplatforming Our Way to the Alt-Tech Ecosystem. Knight First Amendment Institute at Columbia University (Blog)., (2021); Zulli D., Liu M., Gehl R., Rethinking the ‘social’ in ‘social media’: insights into topology, abstraction, and scale on the mastodon social network, New Media Soc, 22, 7, pp. 1188-1205, (2020)","K. Frost-Arnold; Philosophy, Hobart & amp; William Smith Colleges, Geneva, 300 Pulteney St, 14456, United States; email: frost-arnold@hws.edu","","Springer Science and Business Media B.V.","","","","","","01677411","","","","English","Topoi","Article","Article in press","","Scopus","2-s2.0-85206603847"
"","","","International Conference Electronics Goes Green 2024+: From Silicon to Sustainability, EGG 2024 - Proceedings","2024","International Conference Electronics Goes Green 2024+: From Silicon to Sustainability, EGG 2024 - Proceedings","","","","","","580","0","","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203684214&partnerID=40&md5=dcf5c0b157b643ba6a5b5c7cc2214f0c","","","The proceedings contain 76 papers. The topics discussed include: individualized visualization of energy transition measures with AI technologies; design for recycling of electronics: the urgent need for better methods; eco-design and circularity guidelines for printed flexible electronic devices based on a holistic and streamlined sustainability assessment; vision-based robotic grasping with constraints for robotic demanufacturing; drivers and barriers for ‘circular’ consumer electronics in the European Union; open-source software, fediverse and custom ROMs as tools for a sustainable Internet; integration of the informal sector for sustainable E waste management in Ghana; environmental analysis of RF substrates; and getting the priorities right in material efficiency: from the ecodesign directive to the ecodesign for sustainable products regulation.","","","","","","","","","","","","Institute of Electrical and Electronics Engineers Inc.","","2024 International Conference on Electronics Goes Green 2024+, EGG 2024","18 June 2024 through 20 June 2024","Berlin","202050","","978-300079330-1","","","English","Int. Conf. Electron. Goes Green +: From Silicon to Sustain., EGG - Proc.","Conference review","Final","","Scopus","2-s2.0-85203684214"
"Bono C.; La Cava L.; Luceri L.; Pierri F.","Bono, Carlo (57485343000); La Cava, Lucio (57225912867); Luceri, Luca (57191242239); Pierri, Francesco (57210336302)","57485343000; 57225912867; 57191242239; 57210336302","An Exploration of Decentralized Moderation on Mastodon","2024","Proceedings of the 16th ACM Web Science Conference, WebSci 2024","","","","53","58","5","1","10.1145/3614419.3644016","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195137811&doi=10.1145%2f3614419.3644016&partnerID=40&md5=c99349909a119e9b5322349782719cdf","Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy; Dept. of Computer Engineering, Modeling, Electronics, and Systems Engineering, University of Calabria Rende, Italy; Information Sciences Institute, University of Southern California, Los Angeles, CA, United States","Bono C., Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy; La Cava L., Dept. of Computer Engineering, Modeling, Electronics, and Systems Engineering, University of Calabria Rende, Italy; Luceri L., Information Sciences Institute, University of Southern California, Los Angeles, CA, United States; Pierri F., Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","Decentralized Online Social Networks (DOSNs) are rising as a valid alternative to traditional centralized platforms like X (Twitter) and Facebook. Mastodon is to date the most widely recognized decentralized social media service. Thousands of servers have been deployed in the last few years due to the availability of open-source software which allows anyone to easily join the network of interconnected servers. Nonetheless, akin to other social media, Mastodon encompasses instances that host harmful or inappropriate content, which demands moderation. However, the decentralized nature of Mastodon servers poses novel challenges for content moderation. In this work, we explore the dynamics of decentralized moderation on Mastodon through the main tool offered to servers' administrators, namely blocklisting servers to prevent users of an instance from interacting with the content of these servers. Our goal is to shed light on the main traits that characterize blocklisted instances on Mastodon and investigate the emergence of common blocklisting patterns toward specific groups of instances. © 2024 Copyright held by the owner/author(s)","Content; Mastodon; Moderation; Network; Social","Open systems; Social networking (online); Centralised; Content; Decentralised; Facebook; Mastodon; Moderation; Network; Open-source softwares; Social; Social media services; Open source software","","","","","PNRR-PE-AI FAIR; European Commission, EC","This paper is supported by PNRR-PE-AI FAIR project funded by the NextGeneration EU program.","Anaobi I.H., Raman A., Castro I., Zia H.B., Ibosiola D., Tyson G., Will Admins Cope? Decentralized Moderation in the Fediverse, Proceedings of the ACM Web Conference 2023, pp. 3109-3120, (2023); Zia H.B., Raman A., Castro I., Anaobi I.H., De Cristofaro E., Sastry N., Tyson G., Toxicity in the Decentralized Web and the Potential for Model Sharing, Proc. ACM Meas. Anal. Comput. Syst., 6, 2, (2022); Bustamante P., Gomez M., Krishnamurthy P., Madison M.J., Murtazashvili I., Palanisamy B., Palida A., Weiss M.B.H., On the Governance of Federated Platforms, (2023); Cerisara C., Jafaritazehjani S., Oluokun A., Le H.T., Multi-task dialog act and sentiment recognition on Mastodon, Proc. of the 27th Int. Conf. on Computational Linguistics., pp. 745-754, (2018); Datta A., Buchegger S., Vu L.-H., Strufe T., Rzadca K., Decentralized Online Social Networks, pp. 349-378, (2010); Guidi B., Conti M., Passarella A., Ricci L., Managing social contents in Decentralized Online Social Networks: A survey, Online Social Networks and Media, 7, pp. 12-29, (2018); Hassan A.I., Raman A., Castro I., Zia H.B., De Cristofaro E., Sastry N., Tyson G., Exploring Content Moderation in the Decentralised Web: The Pleroma Case, Proc. International Conference on Emerging Networking EXperiments and Technologies (CoNEXT), pp. 328-335, (2021); He J., Zia H.B., Castro I., Raman A., Sastry N., Tyson G., Flocking to Mastodon: Tracking the Great Twitter Migration, Proceedings of the 2023 ACM on Internet Measurement Conference (Montreal QC, Canada) (IMC'23), pp. 111-123, (2023); Jeong U., Nirmal A., Jha K., Tang X., Bernard H.R., Liu H., User Migration across Multiple Social Media Platforms, (2023); Cava L.L., Aiello L.M., Tagarelli A., Drivers of social influence in the Twitter migration to Mastodon, Scientific Reports, 13, 1, (2023); Cava L.L., Greco S., Tagarelli A., Understanding the growth of the Fediverse through the lens of Mastodon, Appl. Netw. Sci., 6, 1, (2021); Cava L.L., Greco S., Tagarelli A., Information consumption and boundary spanning in Decentralized Online Social Networks: The case of Mastodon users, Online Social Networks and Media, 30, (2022); Cava L.L., Greco S., Tagarelli A., Network Analysis of the Information Consumption-Production Dichotomy in Mastodon User Behaviors, Proceedings of the International AAAI Conference on Web and Social Media, 16, 1, pp. 1378-1382, (2022); Cava L.L., Mandaglio D., Tagarelli A., Polarization in Decentralized Online Social Networks, Proc. 16th ACM Conference on Web Science (WebSci'24), (2024); Luceri L., Deb A., Badawy A., Ferrara E., Red bots do it better: Comparative analysis of social bot partisan behavior, Companion proceedings of the 2019 world wide web conference, pp. 1007-1012, (2019); Mathew B., Dutt R., Goyal P., Mukherjee A., Spread of Hate Speech in Online Social Media, Proceedings of the 10th ACM Conference on Web Science, pp. 173-182, (2019); Nicholson M.N., Keegan B.C., Fiesler C., Mastodon Rules: Characterizing Formal Rules on Popular Mastodon Instances, Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing, pp. 86-90, (2023); Raman A., Joglekar S., De Cristofaro E., Sastry N., Tyson G., Challenges in the Decentralised Web: The Mastodon Case, Proc. of the Internet Measurement Conference., pp. 217-229, (2019); Trienes J., Cano A.T., Hiemstra D., Recommending Users: Whom to Follow on Federated Social Networks, CoRR, (2018); Varol O., Ferrara E., Davis C.A., Menczer F., Flammini A., Online Human-Bot Interactions: Detection, Estimation, and Characterization, Proc. of the Int. Conf. on Web and Social Media (ICWSM), pp. 280-289, (2017); Zannettou S., Bradlyn B., De Cristofaro E., Kwak H., Sirivianos M., Stringini G., Blackburn J., What is Gab: A Bastion of Free Speech or an Alt-Right Echo Chamber, Companion Proceedings of the The Web Conference 2018 (Lyon, France) (WWW'18), pp. 1007-1014, (2018); Zignani M., Gaito S., Rossi G.P., Follow the “Mastodon”: Structure and Evolution of a Decentralized Online Social Network, Proc. of the Int. Conf. on Web and Social Media (ICWSM), pp. 541-551, (2018); Zignani M., Quadri C., Gaito S., Cherifi H., Rossi G.P., The Footprints of a “Mastodon”: How a Decentralized Architecture Influences Online Social Relationships, Proc. of the IEEE Conf. on Computer Communications Workshops (INFOCOM WKSHPS), pp. 472-477, (2019); Zulli D., Liu M., Gehl R., Rethinking the “social” in “social media”: Insights into topology, abstraction, and scale on the Mastodon social network, New Media & Society, 22, 7, pp. 1188-1205, (2020)","","Aiello L.C.; Mejova Y.; Seneviratne O.; Sun J.; Kaiser S.; Staab S.","Association for Computing Machinery, Inc","ACM Special Interest Group on Hypertext and the Web (SIGWEB); GESIS - Leibniz Institute for the Social Sciences; University of Stuttgart - Interchange Forum for Reflecting on Intelligent Systems (IRIS); Web Science Trust (WST); Web4Good","16th ACM Web Science Conference, WebSci 2024","21 May 2024 through 24 May 2024","Stuttgart","199712","","979-840070334-8","","","English","Proc. ACM Web Sci. Conf., WebSci","Conference paper","Final","","Scopus","2-s2.0-85195137811"
"Kennedy J.; Hutchinson K.; Zheng D.X.; Guckian J.","Kennedy, Jake (58724759300); Hutchinson, Katie (58724497600); Zheng, David X. (36164633200); Guckian, Jonathan (57207947591)","58724759300; 58724497600; 36164633200; 57207947591","We hardly knew ye goodbye, #dermtwitter?","2023","Dermatology Online Journal","29","5","","","","","0","10.5070/d329562414","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180982812&doi=10.5070%2fd329562414&partnerID=40&md5=dd19526b6543fee2692310f92eb46dbc","Department of Dermatology, NHS Lothian Skin Clinic, Edinburgh, United Kingdom; Newcastle University, Newcastle upon Tyne, United Kingdom; Department of Dermatology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, United States; Department of Dermatology, Leeds General Infirmary, Leeds Teaching Hospitals NHS Trust, West Yorkshire, Leeds, United Kingdom","Kennedy J., Department of Dermatology, NHS Lothian Skin Clinic, Edinburgh, United Kingdom; Hutchinson K., Newcastle University, Newcastle upon Tyne, United Kingdom; Zheng D.X., Department of Dermatology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, United States; Guckian J., Department of Dermatology, Leeds General Infirmary, Leeds Teaching Hospitals NHS Trust, West Yorkshire, Leeds, United Kingdom","[No abstract available]","academic medicine; dermatology; Mastodon; medical education; social media; Twitter","career; creativity; dermatologist; dermatology; evidence based practice; human; information dissemination; Letter; medical education; mentoring; social capital; social media; article","","","","","","","Liakos W, Burrall BA, Hsu DK, Cohen PR., Social media (SoMe) enhances exposure of dermatology articles, Dermatol Online J, 27, 7, (2021); Zheng DX, Mulligan KM, Scott JF., #DermTwitter and digital mentorship in the COVID-19 era, J Am Acad Dermatol, 85, pp. e17-e18, (2021); Guckian J, Spencer J., #SixSecondStudying: the rise and fall of Vine in MedEd, Clin Teach, 16, pp. 164-166, (2019); Patel RR, Hill MK, Smith MK, Seeker P, Dellavalle RP., An updated assessment of social media usage by dermatology journals and organizations, Dermatol Online J, 24, 2, (2018); Ranpariya V, Chu B, Fathy R, Lipoff JB., Dermatology without dermatologists?. Analyzing Instagram influencers with dermatology-related hashtags, J Am Acad Dermatol, 83, pp. 1840-1842, (2020); Guckian J, Utukuri M, Asif A, Et al., Social media in undergraduate medical education: A systematic review, Med Educ, 55, pp. 1227-1241, (2021)","D.X. Zheng; Cleveland, 9501 Euclid Avenue, 44106, United States; email: dxz281@case.edu","","Dermatology Online Journal","","","","","","10872108","","","38478657","English","Dermatol. Online J.","Letter","Final","All Open Access; Gold Open Access","Scopus","2-s2.0-85180982812"
"","","","IMC 2024 - Proceedings of the 2024 ACM Internet Measurement Conference","2024","Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC","","","","","","804","0","","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212501763&partnerID=40&md5=527a7049fc1017743c51dd455f6e6719","","","The proceedings contain 83 papers. The topics discussed include: what I Learned at the White House, or, the importance of measurement researchers engaging with policy; red is sus: automated identification of low-quality service availability claims in the US National Broadband Map; CosmicDance: measuring low earth orbital shifts due to solar radiations; measuring network latency from a wireless ISP: variations within and across subnets; a longitudinal study of the prevalence of Wi-Fi bottlenecks in home access networks; through the telco lens: a countrywide empirical study of cellular handovers; Fediverse migrations: a study of user account portability on the mastodon social network; analyzing the (in)accessibility of online advertisements; and what’s in the dataset? unboxing the APNIC per as user population dataset.","","","","","","","","","","","","Association for Computing Machinery","ACM; ACM SIGCOMM; ACM SIGMETRICS","2024 ACM Internet Measurement Conference, IMC 2024","4 November 2024 through 6 November 2024","Madrid","204673","21503761","979-840070592-2","","","English","Proc. ACM SIGCOMM Internet Meas. Conf. IMC","Conference review","Final","","Scopus","2-s2.0-85212501763"
"Anthonysamy P.; Edwards M.; Weichel C.; Rashid A.","Anthonysamy, Pauline (25722927800); Edwards, Matthew (56467626600); Weichel, Chris (55735186600); Rashid, Awais (7102299639)","25722927800; 56467626600; 55735186600; 7102299639","Inferring semantic mapping between policies and code: The clue is in the language","2016","Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","9639","","","233","250","17","7","10.1007/978-3-319-30806-7_15","https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962409051&doi=10.1007%2f978-3-319-30806-7_15&partnerID=40&md5=0b8ec3456e430e20d02885749ea632be","Google Switzerland, Zürich, Switzerland; Security Lancaster, Lancaster University, Lancaster, United Kingdom","Anthonysamy P., Google Switzerland, Zürich, Switzerland, Security Lancaster, Lancaster University, Lancaster, United Kingdom; Edwards M., Security Lancaster, Lancaster University, Lancaster, United Kingdom; Weichel C., Security Lancaster, Lancaster University, Lancaster, United Kingdom; Rashid A., Security Lancaster, Lancaster University, Lancaster, United Kingdom","A common misstep in the development of security and privacy solutions is the failure to keep the demands resulting from high-level policies in line with the actual implementation that is supposed to operationalize those policies. This is especially problematic in the domain of social networks, where software typically predates policies and then evolves alongside its user base and any changes in policies that arise from their interactions with (and the demands that they place on) the system. Our contribution targets this specific problem, drawing together the assurances actually presented to users in the form of policies and the large codebases with which developers work. We demonstrate that a mapping between policies and code can be inferred from the semantics of the natural language. These semantics manifest not only in the policy statements but also coding conventions. Our technique, implemented in a tool (CASTOR), can infer semantic mappings with F1 accuracy of 70% and 78% for two social networks, Diaspora and Friendica respectively – as compared with a ground truth mapping established through manual examination of the policies and code. © Springer International Publishing Switzerland 2016.","","Computational linguistics; Mapping; Semantics; Social networking (online); Social sciences computing; Ground truth; High level policies; Manual examination; Natural languages; Policy statements; Security and privacy; Semantic mapping; Specific problems; Codes (symbols)","","","","","Lancaster University","This research was funded by Lancaster University 40th Anniversary Research Studentship and has no ties to the first author’s current employment at Google. ","(2010); (2014); (2015); Anthonysamy P., A Framework to Detect Information Asymmetries between Privacy Policies and Controls of Osns, (2014); Anthonysamy P., Greenwood P., Rashid A., Social networking privacy: Understanding the disconnect from policy to controls, IEEE Computer, (2013); Anthonysamy P., Greenwood P., Rashid A., A method for analysing traceability between privacy policies and privacy controls of online social networks, APF 2012. LNCS, 8319, pp. 187-202, (2014); Antoniol G., Canfora G., Casazza G., De Lucia A., Merlo E., Tracing objectoriented code into functional requirements, 8Th International Workshop on Program Comprehension, 2000, Proceedings IWPC 2000, pp. 79-86, (2000); Antoniol G., Canfora G., De Lucia A., Casazza G., Information retrieval models for recovering traceability links between code and documentation, Proceedings of the International Conference on Software Maintenance (ICSM 2000). IEEE Computer Society, (2000); Ashley P., Hada S., Karjoth G., Powers C., Schunter M., Enterprise Privacy Authorization Language (EPAL), (2003); Breiman L., Random forests, Mach. Learn, 45, pp. 5-32, (2001); Chawla N.V., Japkowicz N., Kotcz A., Editorial: Special issue on learning from imbalanced data sets., SIGKDD Explor. Newsl, 6, 1, pp. 1-6, (2004); Cleland-Huang J., Czauderna A., Gibiec M., Emenecker J., A ML approach for tracing regulatory codes to product specific requirements, ICSE, (2010); Cranor L., Langheinrich M., Marchiori M., A P3P preference exchange language 1.0 (appel 1.0). World Wide Web Consortium, Working Draft Wd-P3ppreferences- 20020415, (2002); Fisler K., Krishnamurthi S., Meyerovich L.A., Tschantz M.C., Verification and change-impact analysis of access-control policies, Proceedings of the 27Th International Conference on Software Engineering, ICSE 2005, pp. 196-205, (2005); Haiduc S., Bavota G., Oliveto R., De Lucia A., Marcus A., Automatic query performance assessment during the retrieval of software artifacts, Proceedings of the 27Th IEEE/ACM International Conference on Automated Software Engineering, ASE 2012, pp. 90-99, (2012); Jang D., Jhala R., Lerner S., Shacham H., An empirical study of privacyviolating information flows in javascript web applications, Proceedings of the 17Th ACM Conference on Computer and Communications Security, CCS 2010, pp. 270-283, (2010); Klein D., Manning C.D., Accurate unlexicalized parsing, Proceedings of the 41St Annual Meeting on Association for Computational Linguistics (ACL 2003), 1, pp. 423-430, (2003); Ma L., Torney R., Watters P., Brown S., Automatically generating classifier for phishing email prediction, 2009 10Th International Symposium on Pervasive Systems, Algorithms, and Networks (ISPAN), pp. 779-783, (2009); Massey A., Otto P., Hayward L., Antn A., Evaluating existing security and privacy requirements for legal compliance, Requirements Engineering, (2010); May M.J., Gunter C.A., Lee I., Privacy APIs: Access control techniques to analyze and verify legal privacy policies, Proceedings of the 19Th IEEE Workshop on Computer Security Foundations, CSFW 2006, pp. 85-97, (2006); Meyer B., Object-Oriented Software Construction, (1988); Pandita R., Xiao X., Zhong H., Xie T., Oney S., Paradkar A., Inferring method specifications from natural language api descriptions, Proceedings of the 34Th International Conference on Software Engineering, ICSE 2012, (2012); Rumbaugh J., Blaha M., Premerlani W., Eddy F., Lorensen W.E., Et al., Object- Oriented Modeling and Design, 199, (1991); Wagner D., Static Analysis and Computer Security: New Techniques for Software Assurance, (2000)","P. Anthonysamy; Google Switzerland, Zürich, Switzerland; email: anthonysp@google.com","Bodden E.; Caballero J.; Athanasopoulos E.","Springer Verlag","","8th International Symposium on Engineering Secure Software and Systems, ESSoS 2016","6 April 2016 through 8 April 2016","London","172669","03029743","978-331930805-0","","","English","Lect. Notes Comput. Sci.","Conference paper","Final","","Scopus","2-s2.0-84962409051"
"Kennedy J.; Hutchinson K.; Zheng D.X.; Guckian J.","Kennedy, Jake (58724759300); Hutchinson, Katie (58724497600); Zheng, David X. (36164633200); Guckian, Jonathan (57207947591)","58724759300; 58724497600; 36164633200; 57207947591","We hardly knew ye… goodbye, #dermtwitter?","2023","Dermatology Online Journal","29","5","","","","","0","10.5070/D329562422","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177982836&doi=10.5070%2fD329562422&partnerID=40&md5=45dfe0dc20ca486360e33c4b48c0a9ec","Department of Dermatology, NHS Lothian Skin Clinic, Edinburgh, United Kingdom; Newcastle University, Newcastle upon Tyne, United Kingdom; Department of Dermatology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, United States; Department of Dermatology, Leeds General Infirmary, Leeds Teaching Hospitals NHS Trust, West Yorkshire, Leeds, United Kingdom","Kennedy J., Department of Dermatology, NHS Lothian Skin Clinic, Edinburgh, United Kingdom; Hutchinson K., Newcastle University, Newcastle upon Tyne, United Kingdom; Zheng D.X., Department of Dermatology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, United States; Guckian J., Department of Dermatology, Leeds General Infirmary, Leeds Teaching Hospitals NHS Trust, West Yorkshire, Leeds, United Kingdom","[No abstract available]","academic medicine; dermatology; Mastodon; medical education; social media; Twitter","blogging; dermatologist; dermatology; human; internet access; leadership; learning; Letter; medical education; medical student; mentor; publication; risk factor; social capital; social media; United Kingdom; discourse analysis; information dissemination; medical education; social interaction; social network","","","","","","","Liakos W, Burrall BA, Hsu DK, Cohen PR., Social media (SoMe) enhances exposure of dermatology articles, Dermatol Online J, 27, 7, (2021); Zheng DX, Mulligan KM, Scott JF., #DermTwitter and digital mentorship in the COVID-19 era, J Am Acad Dermatol, 85, pp. e17-e18, (2021); Guckian J, Spencer J., #SixSecondStudying: the rise and fall of Vine in MedEd, Clin Teach, 16, pp. 164-166, (2019); Patel RR, Hill MK, Smith MK, Seeker P, Dellavalle RP., An updated assessment of social media usage by dermatology journals and organizations, Dermatol Online J, 24, 2, (2018); Ranpariya V, Chu B, Fathy R, Lipoff JB., Dermatology without dermatologists? Analyzing Instagram influencers with dermatology-related hashtags, J Am Acad Dermatol, 83, pp. 1840-1842, (2020); Guckian J, Utukuri M, Asif A, Et al., Social media in undergraduate medical education: A systematic review, Med Educ, 55, pp. 1227-1241, (2021)","D.X. Zheng; Cleveland, 9501 Euclid Avenue, 44106, United States; email: dxz281@case.edu","","Dermatology Online Journal","","","","","","10872108","","","","English","Dermatol. Online J.","Letter","Final","All Open Access; Gold Open Access","Scopus","2-s2.0-85177982836"
"Nicholson M.N.; Keegan B.C.; Fiesler C.","Nicholson, Matthew N. (58688267900); Keegan, Brian C (35147867600); Fiesler, Casey (36194796400)","58688267900; 35147867600; 36194796400","Mastodon Rules: Characterizing Formal Rules on Popular Mastodon Instances","2023","Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW","","","","86","90","4","6","10.1145/3584931.3606970","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176252009&doi=10.1145%2f3584931.3606970&partnerID=40&md5=85d48467f9f81a8b67adfabb197f47a7","University of Colorado, United States","Nicholson M.N., University of Colorado, United States; Keegan B.C., University of Colorado, United States; Fiesler C., University of Colorado, United States","Federated social networking is an increasingly popular alternative to more traditional, centralized forms. Yet, this federated arrangement can lead to dramatically different experiences across the network. Using a sample of the most popular instances on the federated social network Mastodon, we characterize the types of rules present in this emerging space. We then compare these rules to those on Reddit, as an example of a different, less centralized space. Rules on Mastodon often pay particular attention to issues of harassment and hate - strongly reflecting the spirit of the Mastodon Covenant. We speculate that these rules may have emerged in response to problems of other platforms, and reflect a lack of support for instance maintainers. With this work, we call for the development of additional instance-level governance and technical scaffolding, and raise questions for future work into the development, values, and value tensions present in the broader federated social networking landscape. © 2023 Owner/Author.","community rules; Mastodon; online communities","Social networking (online); Centralised; Community rule; Mastodon; On-line communities; Social-networking; Scaffolds","","","","","National Science Foundation, NSF, (2309485)","This work is supported by NSF Award # 2309485.","Reddiquette, (2023); Cai J., Wohn D.Y., After Violation But Before Sanction: Understanding Volunteer Moderators' Profiling Processes Toward Violators in Live Streaming Communities, Proceedings of the ACM on Human-Computer Interaction 5, CSCW2, pp. 4101-41025, (2021); Chandrasekharan E., Jhaver S., Bruckman A., Gilbert E., Quarantined! Examining the Effects of a Community-Wide Moderation Intervention on Reddit, ACM Transactions on Computer-Human Interaction, 29, 4, pp. 291-2926, (2022); Chandrasekharan E., Samory M., Jhaver S., Charvat H., Bruckman A., Lampe C., Eisenstein J., Gilbert E., The Internet's Hidden Rules: An Empirical Study of Reddit Norm Violations at Micro, Meso, and Macro Scales, Proceedings of the ACM on Human-Computer Interaction, 2, pp. 1-25, (2018); Charmaz K., Constructing grounded theory, Sage Publications, London ; Thousand Oaks, Calif, (2006); Davies C., Ashford J., Espinosa-Anke L., Preece A., Turner L.D., Whitaker R.M., Srivatsa M., Felmlee D., Multi-Scale User Migration on Reddit, 15th International AAAI Conference on Web and Social Media. Virtual, 9, (2021); Diaz J., Using Mastodon is way too complicated to ever topple Twitter, (2022); Elder B., We tried to run a social media site and it was awful, Financial Times, (2023); Farokhmanesh M., The anti-sex trafficking crackdown is pushing sex workers to Mastodon, (2018); Fiesler C., Dym B., Moving Across Lands: Online Platform Migration in Fandom Communities, Proceedings of the ACM on Human-Computer Interaction 4, CSCW1, pp. 1-25, (2020); Fiesler C., Jiang J., McCann J., Frye K., Brubaker J., Reddit Rules! Characterizing an Ecosystem of Governance, Proceedings of the International AAAI Conference on Web and Social Media, 12, 1, (2018); Fiesler C., Proferes N., Participant, Perceptions of Twitter Research Ethics. Social Media + Society, 4, 1, (2018); Gillespie T., Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media, (2018); Haimson O.L., Delmonaco D., Nie P., Wegner A., Disproportionate Removals and Differing Content Moderation Experiences for Conservative, Transgender, and Black Social Media Users: Marginalization and Moderation Gray Areas, Proceedings of the ACM on Human-Computer Interaction 5, CSCW2, pp. 1-35, (2021); Huang K., What Is Mastodon and Why Are People Leaving Twitter for It, The New York Times, (2022); Jhaver S., Ghoshal S., Bruckman A., Gilbert E., Online Harassment and Content Moderation: The Case of Blocklists, ACM Transactions on Computer-Human Interaction, 25, 2, pp. 121-1233, (2018); Jiang J.A., Nie P., Brubaker J.R., Fiesler C., A Tradeoff-centered Framework of Content Moderation, ACM Transactions on Computer-Human Interaction, 30, 1, pp. 31-334, (2023); Kann S., Carusone A., Seavey R., less than a month, Elon Musk has driven away half of Twitter's top 100 advertisers, (2022); Kiene C., Monroy-Hernandez A., Hill B.M., Surviving an. Eternal September"": How an Online Community Managed a Surge of Newcomers, Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 1152-1156, (2016); Klonick K., The End of the Golden Age of Tech Accountability, (2023); Kraut R.E., Resnick P., Building Successful Online Communities: Evidence-Based Social Design, (2012); La Cava L., Greco S., Tagarelli A., Understanding the growth of the Fediverse through the lens of Mastodon, Applied Network Science, 6, 1, (2021); Lessig L., Code (version 2.0 ed.). Basic Books, (2006); Li H., Alarcon B., Espinosa S.M., Hecht B., Out of Site: Empowering a New Approach to Online Boycotts, Proceedings of the ACM on Human-Computer Interaction 2, CSCW, pp. 1061-10628, (2018); Lin Z., Salehi N., Yao B., Chen Y., Bernstein M., Better When It Was Smaller. Community Content and Behavior After Massive Growth, Proceedings of the International AAAI Conference on Web and Social Media, 11, 1, pp. 132-141, (2017); Massanari A., Gamergate and The Fappening: How Reddit's algorithm, governance, and culture support toxic technocultures, New Media & Society, 19, 3, pp. 329-346, (2017); Schneider N., Admins, mods, and benevolent dictators for life: The implicit feudalism of online communities, New Media & Society, 24, 9, pp. 1965-1985, (2022); Seering J., Wang T., Yoon J., Kaufman G., Moderator engagement and community development in the age of algorithms, New Media & Society, 21, 7, pp. 1417-1443, (2019); Sinders C., Social Networks Are Going Much, Much Smaller, Slate, (2022)","","Ames M.; Fussell S.; Gilbert E.; Liao V.; Ma X.; Page X.; Rouncefield M.; Singh V.; Wisniewski P.","Association for Computing Machinery","ACM SIGCHI; Google; Rutgers School of Communication and Information; Underwood Institute","26th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2023","14 October 2023 through 18 October 2023","Minneapolis","193793","","979-840070129-0","","","English","Proc. ACM Conf. Comput. Support. Coop. Work CSCW","Conference paper","Final","All Open Access; Hybrid Gold Open Access","Scopus","2-s2.0-85176252009"
"","","","IMC 2023 - Proceedings of the 2023 ACM on Internet Measurement Conference","2023","Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC","","","","","","738","0","","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177668068&partnerID=40&md5=2173c5279585df58cb30a869f29baffd","","","The proceedings contain 63 papers. The topics discussed include: replication: towards a publicly available Internet scale IP geolocation dataset; replication: towards a publicly available Internet scale IP geolocation dataset; replication: contrastive learning and data augmentation in traffic classification using a Flowpic input representation; on the importance of being an AS: an approach to country-level as rankings; coarse-grained inference of BGP community intent; RoVista: measuring and analyzing the route origin validation (ROV) in RPKI; illuminating router vendor diversity within providers and along network paths; flocking to mastodon: tracking the great Twitter migration; the prevalence of single sign-on on the web: towards the next generation of web content measurement; and demystifying web-based mobile extended reality accelerated by WebAssembly.","","","","","","","","","","","","Association for Computing Machinery","ACM; ACM SIGCOMM; ACM SIGMETRICS","23rd Edition of the ACM Internet Measurement Conference, IMC 2023","24 October 2023 through 26 October 2023","Montreal","194142","","979-840070382-9","","","English","Proc. ACM SIGCOMM Internet Meas. Conf. IMC","Conference review","Final","","Scopus","2-s2.0-85177668068"
"Zia H.B.; Castro I.; Tyson G.","Zia, Haris Bin (57204212995); Castro, Ignacio (54891848000); Tyson, Gareth (25960456600)","57204212995; 54891848000; 25960456600","Collecting and Analyzing Public Data from Mastodon","2024","International Conference on Information and Knowledge Management, Proceedings","","","","5551","5553","2","0","10.1145/3627673.3679093","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210007382&doi=10.1145%2f3627673.3679093&partnerID=40&md5=c90b6407fc7eef60a93f54c7990803fb","QMUL, London, United Kingdom; HKUST, Guangzhou, China","Zia H.B., QMUL, London, United Kingdom; Castro I., QMUL, London, United Kingdom; Tyson G., QMUL, London, United Kingdom, HKUST, Guangzhou, China","Understanding online behaviors, communities, and trends through social media analytics is becoming increasingly important. Recent changes in the accessibility of platforms like Twitter have made Mastodon a valuable alternative for researchers. In this tutorial, we will explore methods for collecting and analyzing public data from Mastodon, a decentralized micro-blogging social network. Participants will learn about the architecture of Mastodon, techniques and best practices for data collection, and various analytical methods to derive insights from the collected data. This session aims to equip researchers with the skills necessary to harness the potential of Mastodon data in computational social science and social data science research.  © 2024 ACM.","command-line; data collection; fediverse; mastodon; python; social networks","Command line; Data collection; Decentralised; Fediverse; Mastodon; Micro blogging; Online behaviours; Public data; Social media analytics; Social network; Tweets","","","","","Engineering and Physical Sciences Research Council, EPSRC; AP4L, (EP/W032473/1, REPHRAIN EP/V011189/1)","This work is supported by EPSRC grants AP4L (EP/W032473/1), DSNmod (REPHRAIN EP/V011189/1) and Fediobservatory.","Alalwan A.A., Rana N.P., Dwivedi Y.K., Algharabat R., Social media in marketing: A review and analysis of the existing literature, Telematics and informatics, 34, 7, pp. 1177-1190, (2017); Batrinca B., Treleaven P.C., Social media analytics: A survey of techniques, tools and platforms, Ai & Society, 30, pp. 89-116, (2015); He J., Zia H.B., Castro I., Raman A., Sastry N., Tyson G., Flocking to mastodon: Tracking the great twitter migration, Proceedings of the 2023 ACM on Internet Measurement Conference., pp. 111-123, (2023); La Cava L., Greco S., Tagarelli A., Understanding the growth of the Fediverse through the lens of Mastodon, Applied network science, 6, pp. 1-35, (2021); McCormick T.H., Lee H., Cesare N., Shojaie A., Spiro E.S., Using twitter for demographic and social science research: Tools for data collection and processing, Sociological methods & research, 46, 3, pp. 390-421, (2017); Proferes N., Jones N., Gilbert S., Fiesler C., Zimmer M., Studying reddit: A systematic overview of disciplines, approaches, methods, and ethics, Social Media+ Society, 7, 2, (2021); Rieger D., Kumpel A.S., Wich M., Kiening T., Groh G., Assessing the extent and types of hate speech in fringe communities: A case study of alt-right communities on 8chan, 4chan, and Reddit, Social Media+ Society, 7, 4, (2021); Waseem Z., Hovy D., Hateful symbols or hateful people? predictive features for hate speech detection on twitter, Proceedings of the NAACL student research workshop., pp. 88-93, (2016); XDevelopers., (2023)","","","Association for Computing Machinery","ACM SIGIR; ACM SIGWEB","33rd ACM International Conference on Information and Knowledge Management, CIKM 2024","21 October 2024 through 25 October 2024","Boise","203771","21550751","979-840070436-9","","","English","Int Conf Inf Knowledge Manage","Conference paper","Final","","Scopus","2-s2.0-85210007382"
"Mazzeo Rinaldi F.; Miracula V.; Picone A.; Occhipinti O.","Mazzeo Rinaldi, Francesco (57191582302); Miracula, Vincenzo (58021849100); Picone, Antonio (58021849000); Occhipinti, Ornella (59320613900)","57191582302; 58021849100; 58021849000; 59320613900","Public sentiment on the Israeli–Palestinian conflict: insights from YouTube, Mastodon, and Google Trends","2024","Mathematical Population Studies","31","4","","242","266","24","0","10.1080/08898480.2024.2401339","https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203501694&doi=10.1080%2f08898480.2024.2401339&partnerID=40&md5=0a36ae53f6db9dbc4ae2cfcf5efb83eb","Department of Political and Social Science, University of Catania, Italy; Department of Physics and Astronomy, University of Catania, Italy","Mazzeo Rinaldi F., Department of Political and Social Science, University of Catania, Italy; Miracula V., Department of Physics and Astronomy, University of Catania, Italy; Picone A., Department of Physics and Astronomy, University of Catania, Italy; Occhipinti O., Department of Political and Social Science, University of Catania, Italy","This research employs a comprehensive methodology to delve into public sentiments surrounding the Israeli–Palestinian conflict, incorporating unconventional data sources—YouTube comments and Mastodon. Departing from the traditional reliance on Twitter, our systematic approach involves keyword-driven content identification, leveraging Google Trends to establish five pivotal keywords. Mastodon searches employed straightforward hashtag strategies, while the intricacies of YouTube required an exclusive focus on official newspaper channels to mitigate polarization risks. Rigorous data cleaning ensued, retaining only English-language texts and eliminating extraneous elements. The resulting dataset was subjected to Sentiment Analysis and Emotion Detection, providing a nuanced understanding of public sentiments across platforms, totaling 253.3 K texts. © 2024 Taylor & Francis Group, LLC.","Behavioral data; information retrieval; network analysis; NLP techniques; opinion dynamics","developing world; international conflict; Internet; network analysis; public attitude; social media","","","","","","","Amaturo E., De Falco C.C., Traces and algorithms as socio-digital objects, What People Leave Behind. Frontiers in Sociology and Social Research, 7, pp. 283-291, (2022); Berners-Lee T., Cailliau R., Groff J.-F., Pollermann B., World-wide-web: the information universe, Internet Research, 20, 4, pp. 461-471, (2010); Birjali M., Kasri M., Beni-Hssane A., A comprehensive survey on sentiment analysis: approaches, challenges and trends, Knowledge-Based Systems, 226, pp. 107-134, (2021); Burgess J., Marwick A., Poell T., The SAGE Handbook of Social Media, (2018); Caliandro A., Gandini A., I metodi digitali nella ricerca sociale, 1167, (2019); Caprolu M., Sadighian A., Di Pietro R., Characterizing the 2022-Russo-Ukrainian conflict through the lenses of aspect-based sentiment analysis: dataset, methodology, and key findings, 2023 32nd International Conference on Computer Communications and Networks (ICCCN), pp. 1-10, (2023); Devlin J., Chang M.-W., Lee K., Toutanova K., Bert: pre-training of deep bidirectional transformers for language understanding, (2018); Ekman P., Are there basic emotions?, Psychological Review, 99, 3, pp. 550-553, (1992); Iliadis A., Pedersen I., The fabric of digital life: uncovering sociotechnical tradeoffs in embodied computing through metadata, Journal of Information, Communication and Ethics in Society, 16, 3, pp. 311-327, (2018); Jingdong W., Zhonghe L., Fanqi M., Analysis on the situation of internet public opinion research, 2020 12th International Conference on Computational Intelligence and Communication Networks (CICN), pp. 416-422, (2020); Kandula S., Shaman J., Reappraising the utility of Google flu trends, PLOS Computational Biology, 15, 8, (2019); Karim A.A., Pardede E., Mann S., A model selection approach for time series forecasting: incorporating google trends data in Australian macro indicators, Entropy, 25, 8, (2023); Kusal S., Patil S., Choudrie J., Kotecha K., Vora D., Pappas I., A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection, Artificial Intelligence Review, 56, 12, pp. 15129-15215, (2023); Liu Y., Ott M., Goyal N., Du J., Joshi M., Chen D., Levy O., Lewis M., Zettlemoyer L., Stoyanov V., Roberta: a robustly optimized BERT pretraining approach, arXiv Preprint arXiv, 1907, (2019); Lythreatis S., Singh S.K., El-Kassar A.-N., The digital divide: a review and future research agenda, Technological Forecasting & Social Change, 175, (2022); Lyu J.C., Han E.L., Luli G.K., COVID-19 vaccine–related discussion on Twitter: topic modeling and sentiment analysis, Journal of Medical Internet Research, 23, 6, (2021); Mazzeo Rinaldi F., Celardi E., Miracula V., Picone A., Artificial intelligence and text analysis in evaluating complex social phenomena. The Russia-Ukraine conflict, Artificial Intelligence and Evaluation. Emerging Technologies and Their Implications for Evaluation, pp. 168-195, (2025); Mazzeo Rinaldi F., Giuffrida G., Negrete T., Real-time monitoring and evaluation - emerging news as predictive process using big data based approach, Cyber Society, Big Data and Evaluation, pp. 191-214, (2017); Miracula V., Celardi E., The role of Twitter and Google Trends in identifying the perception of Russia-Ukraine wars, 5th International Conference on Advanced Research Methods and Analytics, 2023, pp. 71-80, (2023); Nandwani P., Verma R., A review on sentiment analysis and emotion detection from text, Social Network Analysis and Mining, 11, 1, (2021); Nazarchuk R., Albota S., Tweets about Ukraine during the Russian-Ukrainian war: quantitative characteristics and sentiment analysis, Proceedings of the Modern Machine Learning Technologies and Data Science Workshop (MoMLeT&DS 2023), Lviv, Ukraine, pp. 551-560, (2023); Nie C., Zheng Z.E., Sarkar S., A strategic group analysis of competitor behavior in search advertising, Journal of the Association for Information Systems, 22, 6, pp. 1659-1685, (2021); Pan Z., Nguyen H.L., Abu-Gellban H., Zhang Y., Google Trends analysis of COVID-19 pandemic, 2020 IEEE International Conference on Big Data (Big Data), pp. 3438-3446, (2020); Prusakiewicz C., McGarry K., Quantitative approach of geospatial sentiment analysis to reveal opinions on the war in Ukraine, Artificial Intelligence XL. SGAI 2023. Lecture Notes in Computer Science, 14381, pp. 293-306, (2023); Rahul K., Jindal B.R., Singh K., Meel P., Analysing public sentiments regarding COVID-19 vaccine on Twitter, 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), pp. 488-493, (2021); Richardson L., Amundsen M., Ruby S., RESTful Web APIs: Services for a Changing World, (2013); Ritzer G., Jurgenson N., Production, consumption, prosumption: the nature of capitalism in the age of the digital ‘prosumer’, Journal of Consumer Culture, 10, 1, pp. 13-36, (2010); Rogers R., The End of the Virtual: Digital Methods, (2009); Sahayak V., Shete V., Pathan A., Sentiment analysis on Twitter data, International Journal of Innovative Research in Advanced Engineering, 2, 1, pp. 178-183, (2015); Scannell D., Desens L., Guadagno M., Tra Y., Acker E., Sheridan K., Rosner M., Mathieu J., Fulk M., COVID-19 vaccine discourse on Twitter: a content analysis of persuasion techniques, sentiment and mis/disinformation, Journal of Health Communication, 26, 7, pp. 443-459, (2021); Scarborough W.J., Helmuth A.S., How cultural environments shape online sentiment toward social movements: place character and support for feminism, Sociological Forum, 36, pp. 426-447, (2021); Shevtsov A., Oikonomidou M., Antonakaki D., Pratikakis P., Ioannidis S., De Silva D., What tweets and YouTube comments have in common? Sentiment and graph analysis on data related to US elections 2020, PLOS ONE, 18, 1, (2023); Thakkar H., Patil A., Saudagar O., Yenkikar A., Sentiment and statistical analysis on custom Twitter dataset for 2022 Russo-Ukrainian conflict, 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), pp. 679-684, (2023); Thiem A., Mkrtchyan L., Haesebrouck T., Sanchez D., Meloni S., Algorithmic bias in social research: a meta-analysis, PLOS ONE, 15, 6, (2020); Vaswani A., Shazeer N., Parmar N., Uszkoreit J., Jones L., Gomez A.N., Kaiser L., Polosukhin I., Attention is all you need, Advances in neural information processing systems, in Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS’17), pp. 6000-6010, (2017); Walker A., Hopkins C., Surda P., Use of google trends to investigate loss-of-smell-related searches during the COVID-19 outbreak, International Forum of Allergy & Rhinology, 10, 7, pp. 839-847, (2020); Yong W.Y., Jaiswal R., Perez Tellez F., Explainability in NLP model: detection of covid-19 Twitter fake news, Proceedings of the 2023 Conference on Human Centered Artificial Intelligence: Education and Practice (HCAIep ’23), pp. 1-7, (2023); Zhuang W., Zeng Q., Zhang Y., Liu C., Fan W., What makes user-generated content more helpful on social media platforms? Insights from creator interactivity perspective, Information Processing & Management, 60, 2, (2023)","F. Mazzeo Rinaldi; Department of Political and Social Science, University of Catania, Catania, Via C. Dusmet, 163, 95131, Italy; email: fmazzeo@unict.it","","Routledge","","","","","","08898480","","","","English","Math. Popul. Stud.","Article","Final","","Scopus","2-s2.0-85203501694"