Trust and Friction: Negotiating How Information Flows Through Decentralized Social Media

March 04, 2025 Β· Declared Dead Β· πŸ› Proc. ACM Hum. Comput. Interact.

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Authors Sohyeon Hwang, Priyanka Nanayakkara, Yan Shvartzshnaider arXiv ID 2503.02150 Category cs.HC: Human-Computer Interaction Cross-listed cs.CY, cs.SI Citations 7 Venue Proc. ACM Hum. Comput. Interact. Last Checked 4 months ago
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.
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