Trouble in Paradise? Understanding Mastodon Admin's Motivations, Experiences, and Challenges Running Decentralised Social Media
Open accessAbstract
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.
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Governance decisions in decentralized social media are typically made by instance administrators, who tend to be more responsive and accessible than executives of large, centrally-operated social media platforms during times of user dissatisfaction.
“Governance decisions are typically made by instance administrators [5,32], who tend to be more responsive and accessible than the executives of large, centrally-operated social media platforms [4,56,119] during times of user dissatisfaction.”
From Seeing the Politics of Decentralized Social Media Protocols (2026) · cites this paper as [119]
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Experimental — accuracy not yet measuredPrior work on decentralized social media rarely considers how the underlying protocols structure and shape the systems being examined.
“Focused on user experiences in the context of specific app implementations such as mastodon.socialand Bluesky [5,49,82,109,119], this work rarely considers how the underlying protocols structure and shape the systems being examined.”
From Seeing the Politics of Decentralized Social Media Protocols (2026) · cites this paper as [119]
Decentralizing power over curation disperses responsibility for filtering and contextualizing content across multiple actors, creating challenges and uneven enforcement.
“Decentralizing power over curation similarly disperses responsibility for filtering and contextualizing content across multiple actors, creating challenges and uneven enforcement discussed in Yu et al. [116], Zhang et al. [119] and Nicholson et al. [82].”
From Seeing the Politics of Decentralized Social Media Protocols (2026) · cites this paper as [119]
Protocols make key decisions about how to decentralize that are likely to give rise to dynamics documented in recent empirical work, such as challenges faced by admins of ActivityPub-based social networks.
“We suggest that protocols make key decisions about how to decentralize that are likely to give rise to those dynamics documented in recent empirical work, such as challenges faced by admins of ActivityPub-based social networks [5,119] as they take on key roles as operators of Spaces, Servers, and Clients.”
From Seeing the Politics of Decentralized Social Media Protocols (2026) · cites this paper as [119]
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Chen, A. Z., McCray, G. G., Akintobi, T. H., & Best, M. L. (2025) · ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS) · doi:10.1145/3715335.3735491 · Cited by 4 · see citing works
Trust and Friction: Negotiating How Information Flows through Decentralized Social Media
Hwang, S., Nanayakkara, P., & Shvartzshnaider, Y. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757516 · Cited by 4 · see citing works
Min, S., Wang, S., Luo, Y., Gao, M., Gong, Q., Xiao, Y., & Chen, Y. (2025) · International World Wide Web Conference (WWW) · doi:10.1145/3701716.3715298 · Cited by 3 · see citing works
Seeing the Politics of Decentralized Social Media Protocols
Oshinowo, T., Hwang, S., Zhang, A. X., & Monroy-Hernández, A. (2026) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3816995 · Cited by 1 · see citing works
“Governance decisions are typically made by instance administrators [5, 32], who tend to be more responsive and accessible than the executives of large, centrally-operated social media platforms [4, 56, 119] during times of user dissatisfaction.”
InfluentialAttitudes, Imagined Roles, and Governance Boundaries for AI in Decentralized Social Media
Zhang, Z., Zhao, J., Wang, G., Viswanathan, S., Ross, T., Johnston, S., Liu, D., Noh, H., Kleek, M. G. V., & Shadbolt, N. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790295 · Cited by 1 · see citing works
Self-citationUnderstanding Cross-Platform Links in User Profiles: A Data-Driven Analysis on Mastodon
Min, S., Wang, S., Luo, Y., Gong, Q., & Chen, Y. (2025) · Communications in computer and information science · doi:10.1007/978-981-95-0880-8_16
Murthy, S. V., Terlapu, P. V., Rakesh, S., Ganesh, R. S. S. D., Sravya, V., & Akshay, M. (2025) · International Conference on Emerging Technologies in Electronics and Green Energy (ICETEG) · doi:10.1109/iceteg66194.2025.11473098
Légitime, S., & Suresh, H. (2026) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3817010
Ross, T., de Felipe, S. S., & Kleek, M. G. V. (2026) · Designing Interactive Systems Conference · doi:10.1145/3800645.3812908
Self-citationPalese, R. (2026) · IGI Global eBooks · doi:10.4018/979-8-2600-3048-6.ch010
Ledgerless Verifiable Account Migration: A Scalable Identity Bridge for Federated Social Networks
Thadathil, A. G., Raj, B., & Natarajan, K. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-33535-7_7
Decentralized Social Network Research: Mastodon User and Community Analysis
Chen, J., Meng, Y., Quan, C., & Wang, Y. (2026) · SHS Web of Conferences · doi:10.1051/shsconf/202623603019
Alternative Social Platforms as Opportunity Structures for Alternative News
Frischlich, L., & Schulze, H. (2026) · Springer eBooks · doi:10.1007/978-3-032-22489-7_18
Federating Governance: How Community Rules Scale with Mastodon Servers
Muralidharan, R., Ahn, Y., & Truong, B. T. (2026) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3816935 · Cited by 3 · see citing works
Mohammadi, I., & Salehi, S. (2026) · Proceedings of the 2026 Companion of the Computer-Supported Cooperative Work and Social Computing · doi:10.1145/3785651.3831493
- Authors
- Zhang, Z., Zhao, J., Wang, G., Johnston, S.-K., Chalhoub, G., Ross, T., Liu, D., Tinsman, C., Zhao, R., Van Kleek, M., & Shadbolt, N.
- Affiliations
- University of Oxford (GB)
- Stanford University (US)
- University College London (GB)
- University of Oxford, Oxford, United Kingdom
- ORCID
- Venue
- Proceedings of the ACM on Human-Computer Interaction
- Published
- 2024-11-07
- Volume
- 8
- Issue
- CSCW2
- Pages
- 1-24
- ISSN
- 2573-0142 (ISSN-L)
- OpenAlex
- W4404172456
- Cited by
- 16
- References
- 72
- Citations by year
- 2026: 9 · 2025: 7
- FWCI
- 13.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the ACM on Human-Computer Interaction (publishedVersion, cc-by-nc)
- UCL Discovery (University College London) (submittedVersion, cc-by-nc)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Funders
- Oxford Martin School, University of Oxford (Ethical Web and Data Architecture)
- Engineering and Physical Sciences Research Council (1535259)
- Topics
- Social Sciences › Communication › Social Media and Politics
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- Mastodon, marginalized communities, content moderation, community building, platform governance, online safety, lived experience
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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