@misc{hwang_trust_2025,
	title = {Trust and {Friction}: {Negotiating} {How} {Information} {Flows} {Through} {Decentralized} {Social} {Media}},
	shorttitle = {Trust and {Friction}},
	url = {http://arxiv.org/abs/2503.02150},
	doi = {10.48550/arXiv.2503.02150},
	abstract = {Decentralized social media protocols enable users in independent, user-hosted servers (i.e., instances) to interact with each other while they self-govern. This community-based model of social media governance opens up new opportunities for tailored decision-making about information flows -- i.e., what user data is shared to whom and when -- and in turn, for protecting user privacy. To better understand how community governance shapes privacy expectations on decentralized social media, we conducted a semi-structured interview with 23 users of the Fediverse, a decentralized social media network. Our findings illustrate important factors that shape a community's understandings of information flows, such as rules and proactive efforts from admins who are perceived as trustworthy. We also highlight ''governance frictions'' between communities that raise new privacy risks due to incompatibilities in values, security practices, and software. Our findings highlight the unique challenges of decentralized social media, suggest design opportunities to address frictions, and outline the role of participatory decision-making to realize the full potential of decentralization.},
	urldate = {2025-03-07},
	publisher = {arXiv},
	author = {Hwang, Sohyeon and Nanayakkara, Priyanka and Shvartzshnaider, Yan},
	month = mar,
	year = {2025},
	note = {arXiv:2503.02150},
	keywords = {Computer Science - Computers and Society, Computer Science - Human-Computer Interaction, Computer Science - Social and Information Networks},
}

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To better understand how community governance shapes privacy expectations on decentralized social media, we conducted a semi-structured interview with 23 users of the Fediverse, a decentralized social media network. Our findings illustrate important factors that shape a community's understandings of information flows, such as rules and proactive efforts from admins who are perceived as trustworthy. We also highlight ''governance frictions'' between communities that raise new privacy risks due to incompatibilities in values, security practices, and software. Our findings highlight the unique challenges of decentralized social media, suggest design opportunities to address frictions, and outline the role of participatory decision-making to realize the full potential of decentralization.","urldate":"2025-03-07","publisher":"arXiv","author":[{"propositions":[],"lastnames":["Hwang"],"firstnames":["Sohyeon"],"suffixes":[]},{"propositions":[],"lastnames":["Nanayakkara"],"firstnames":["Priyanka"],"suffixes":[]},{"propositions":[],"lastnames":["Shvartzshnaider"],"firstnames":["Yan"],"suffixes":[]}],"month":"March","year":"2025","note":"arXiv:2503.02150","keywords":"Computer Science - Computers and Society, Computer Science - Human-Computer Interaction, Computer Science - Social and Information Networks","bibtex":"@misc{hwang_trust_2025,\n\ttitle = {Trust and {Friction}: {Negotiating} {How} {Information} {Flows} {Through} {Decentralized} {Social} {Media}},\n\tshorttitle = {Trust and {Friction}},\n\turl = {http://arxiv.org/abs/2503.02150},\n\tdoi = {10.48550/arXiv.2503.02150},\n\tabstract = {Decentralized social media protocols enable users in independent, user-hosted servers (i.e., instances) to interact with each other while they self-govern. This community-based model of social media governance opens up new opportunities for tailored decision-making about information flows -- i.e., what user data is shared to whom and when -- and in turn, for protecting user privacy. To better understand how community governance shapes privacy expectations on decentralized social media, we conducted a semi-structured interview with 23 users of the Fediverse, a decentralized social media network. Our findings illustrate important factors that shape a community's understandings of information flows, such as rules and proactive efforts from admins who are perceived as trustworthy. We also highlight ''governance frictions'' between communities that raise new privacy risks due to incompatibilities in values, security practices, and software. 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