Challenges in the Decentralised Web: The Mastodon Case
Abstract
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.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
As decentralized networks scale, infrastructure and content-driven pressures can push social networks back toward centralized control to address challenges related to cost, performance, and user experience.
“As decentralized networks scale, infrastructure and contentdriven pressures can push social networks back toward centralized control to address challenges related to cost, performance, and user experience [95].”
From Seeing the Politics of Decentralized Social Media Protocols (2026) · cites this paper as [95]
Cites
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534 · see citing works
What is Twitter, a social network or a news media?
Kwak, H., Lee, C., Park, H., & Moon, S. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772751 · Cited by 6,652 · see citing works
Error and attack tolerance of complex networksPreprint
Albert, R., Jeong, H., & Barabási, A.-Ĺ. (2000) · Cited by 6,554 · see citing works
Measuring user influence in twitter: The million follower fallacy
Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14033 · Cited by 3,022 · cited 3× · see citing works
“Without any node removals, Twitter’s LCC contained 95% of users [10]; re-”
BackgroundTapestry: A Resilient Global-Scale Overlay for Service Deployment
Zhao, B., Huang, L., Stribling, J., Rhea, S. C., Joseph, A. D., & Kubiatowicz, J. D. (2004) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2003.818784 · Cited by 1,719 · see citing works
User interactions in social networks and their implications
Wilson, C., Boe, B., Sala, A., Puttaswamy, K. P. N., & Zhao, B. Y. (2009) · Proceedings of the 4th ACM European conference on Computer systems · doi:10.1145/1519065.1519089 · Cited by 879 · see citing works
The Anatomy of the Facebook Social Graph
Ugander, J., Karrer, B., Backstrom, L., & Marlow, C. (2011) · arXiv · doi:10.48550/arxiv.1111.4503 · Cited by 819 · see citing works
PeerSoN: P2P social networking
Buchegger, S., Schiöberg, D., Vu, L., et al. (2009) · doi:10.1145/1578002.1578010 · Cited by 426 · see citing works
Characterization of network-wide anomalies in traffic flows
Lakhina, A., Crovella, M. E., & Diot, C. (2004) · ACM SIGCOMM Internet Measurement Conference (IMC) · doi:10.1145/1028788.1028813 · Cited by 422 · see citing works
Why rumors spread so quickly in social networks
Doerr, B., Fouz, M., & Friedrich, T. (2012) · Communications of the ACM · doi:10.1145/2184319.2184338 · Cited by 358 · see citing works
A Demonstration of the Solid Platform for Social Web Applications
Mansour, E. A. H., Sambra, A. V., Hawke, S., et al. (2016) · doi:10.1145/2872518.2890529 · Cited by 221 · see citing works
What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?
Zannettou, S., Bradlyn, B., Cristofaro, E. D., Kwak, H., Sirivianos, M., Stringhini, G., & Blackburn, J. (2018) · Singapore Management University Institutional Knowledge (InK) (Singapore Management University) · doi:10.48550/arxiv.1802.05287 · Cited by 202 · see citing works
Self-citationConjoining Speeds up Information Diffusion in Overlaying Social-Physical Networks
Yağan, O., Qian, D., Zhang, J., et al. (2013) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2013.130606 · Cited by 171 · see citing works
Of Bots and Humans (on Twitter)
Gilani, Z., Farahbakhsh, R., Gareth Tyson, A., et al. (2017) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1145/3110025.3110090 · Cited by 131 · see citing works
Survey on peer-assisted content delivery networks
Anjum, N., Karamshuk, D., Shikh‐Bahaei, M., & Sastry, N. (2017) · Computer Networks · doi:10.1016/j.comnet.2017.02.008 · Cited by 94 · see citing works
Self-citationLifeSocial.KOM: A secure and P2P-based solution for online social networks
Graffi, K., Groß, C., Stingl, D., et al. (2011) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc.2011.5766541 · Cited by 92 · see citing works
Managing social contents in Decentralized Online Social Networks: A survey
Guidi, B., Conti, M., Passarella, A., & Ricci, L. (2018) · Online Social Networks and Media · doi:10.1016/j.osnem.2018.07.001 · Cited by 82 · see citing works
The growth of Diaspora - A decentralized online social network in the wild
Bielenberg, A., Helm, L., Gentilucci, A., et al. (2012) · IEEE INFOCOM Workshops · doi:10.1109/infcomw.2012.6193476 · Cited by 80 · see citing works
Detecting Peering Infrastructure Outages in the Wild
Giotsas, V., Dietzel, C., Smaragdakis, G., et al. (2017) · doi:10.1145/3098822.3098855 · Cited by 78 · see citing works
Follow the “Mastodon”: Structure and Evolution of a Decentralized Online Social Network
Zignani, M., Gaito, S., & Rossi, G. P. (2018) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v12i1.14988 · Cited by 67 · see citing works
A Large-scale Behavioural Analysis of Bots and Humans on Twitter
Gilani, Z., Farahbakhsh, R., Gareth Tyson, A., & Crowcroft, J. (2019) · ACM Transactions on the Web · doi:10.1145/3298789 · Cited by 62 · see citing works
Multi-task dialog act and sentiment recognition on MastodonPreprint
Cerisara, C., Jafaritazehjani, S., Olúòkun, A., & Le, H. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1807.05013 · Cited by 60 · see citing works
Unraveling BitTorrent's File Unavailability: Measurements and Analysis
Kaune, S., Rumin, R. C., Tyson, G., et al. (2010) · IEEE International Conference on Peer-to-Peer Computing (P2P) · doi:10.1109/p2p.2010.5569991 · Cited by 53 · see citing works
Self-citationJoglekar, S. P., Sastry, N., Coulson, N., Taylor, S. J., Patel, A. K., Duschinsky, R., Anand, A., Evans, M. J., Griffiths, C., Sheikh, A., et al. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9952 · Cited by 46 · see citing works
Self-citationGareth Tyson, A., Elkhatib, Y., Sastry, N., & Uhlig, S. (2013) · ACM Internet Measurement Conference (IMC) · doi:10.1145/2504730.2504739 · Cited by 46 · see citing works
Self-citationValorising the IoT Databox: creating value for everyone
Perera, C., Wakenshaw, S. Y. L., Baarslag, T., Haddadi, H., Bandara, A. K., Mortier, R., Crabtree, A., Ng, I. C. L., McAuley, D., & Crowcroft, J. (2016) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3125 · Cited by 38 · see citing works
Mastodon Content Warnings: Inappropriate Contents in a Microblogging Platform
Zignani, M., Quadri, C., Galdeman, A., Gaito, S., & Rossi, G. P. (2019) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v13i01.3262 · Cited by 18 · see citing works
User Interactions in Social Networks and their Implications
Christo, Bryce, Alessandra, A., et al. (2013) · Cited by 16 · see citing works
Recommending Users: Whom to Follow on Federated Social NetworksPreprint
Trienes, J., Cano, A. T., & Hiemstra, D. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1811.09292 · Cited by 12 · see citing works
Unraveling BitTorrent's File Unavailability: Measurements, Analysis and Solution ExplorationPreprint
Kaune, S., Rumin, R. C., Tyson, G., et al. (2009) · arXiv (Cornell University) · doi:10.48550/arxiv.0912.0625 · Cited by 9 · see citing works
Self-citationImplementing Federated Social Networking
Silva, G., Reis, L., Terceiro, A. S. D. A., et al. (2017) · International Symposium on Open Collaboration · doi:10.1145/3125433.3125455 · Cited by 9 · see citing works
SocialGate: Managing large-scale social data on home gateways
Köll, D., Lechler, D., & Fu, X. (2017) · Proceedings/Proceedings - International Conference on Network Protocols · doi:10.1109/icnp.2017.8117590 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Will Admins Cope? Decentralized Moderation in the Fediverse
Anaobi, I. H., Raman, A., Castro, I., Zia, H. B., Ibosiola, D., & Tyson, G. (2023) · Proceedings of the ACM Web Conference 2023 · doi:10.1145/3543507.3583487 · Cited by 33 · see citing works
Self-citationAn Exploration of Decentralized Moderation on Mastodon
Bono, C. A., La Cava, L., Luceri, L., & Pierri, F. (2024) · ACM Web Science Conference · doi:10.1145/3614419.3644016 · Cited by 18 · see citing works
Zhang, Z., Zhao, J., Wang, G., Johnston, S.-K., Chalhoub, G., Ross, T., Liu, D., Tinsman, C., Zhao, R., Van Kleek, M., et al. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3687059 · Cited by 16 · see citing works
Polarization in Decentralized Online Social Networks
La Cava, L., Mandaglio, D., & Tagarelli, A. (2024) · ACM Web Science Conference · doi:10.1145/3614419.3644013 · Cited by 11 · see citing works
“Among the plethora of decentralized services developed in recent years, Mastodon stems as the most widely recognized and studied [3, 23, 24, 26, 27] decentralized social media, boasting a user base exceeding 10M and nearly 20K instances to date, thus serving as the best representative for delving…”
BackgroundUser Sentiments and Dynamics in the Decentralized Web: Reddit Migration’s Impact on Lemmy
Nunes, T. A. (2023) · Journal of Multimedia Information System · doi:10.33851/jmis.2023.10.4.333 · 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
“As decentralized networks scale, infrastructure and content-driven pressures can push social networks back toward centralized control to address challenges related to cost, performance, and user experience [95].”
Polarization in Decentralized Online Social Networks
La Cava, L., Mandaglio, D., & Tagarelli, A. (2023) · arXiv · Cited by 12 · see citing works
- Authors
- Raman, A., Joglekar, S., Cristofaro, E. D., Sastry, N., & Tyson, G.
- Affiliations
- King's College London (GB)
- University College London (GB)
- Queen Mary University of London
- Venue
- Proceedings of the Internet Measurement Conference
- Publisher
- ACM
- Published
- 2019-10-21
- Pages
- 217-229
- OpenAlex
- W2980412466
- Cited by
- 118
- References
- 32
- Citations by year
- 2026: 12 · 2025: 27 · 2024: 29 · 2023: 14 · 2022: 15 · 2021: 11 · 2020: 10
- FWCI
- 7.17
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM Internet Measurement Conference (IMC) (publishedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Funders
- The Alan Turing Institute under EPSRC grant (EP/N510129/1)
- European Union?s Horizon 2020 Research and Innovation program under the Marie Sk?odowska-Curie ?ENCASE? project (691025)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Peer-to-Peer Network Technologies
- Physical Sciences › Computer Science › Information Systems › Mobile and Web Applications
- Keywords
- Mastodon, open source software, peer-to-peer networks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review