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

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 highlight ''governance frictions'' between communities that raise new privacy risks due to incompatibilities in values, security practices, and software. Our findings point to 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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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757516
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Priyanka Nanayakkara, Sohyeon Hwang, Yan Shvartzshnaider
Proceedings of the ACM on Human-Computer Interaction
Privacy, Security, and Data Protection
article

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

Priyanka Nanayakkara, Sohyeon Hwang, Yan Shvartzshnaider
article en

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 highlight ''governance frictions'' between communities that raise new privacy risks due to incompatibilities in values, security practices, and software. Our findings point to 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.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
York University (CA), Princeton University (US), Harvard University Press (US)
Openalex Percentile: Top 61%
Privacy, Security, and Data Protection
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