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Challenges in the Decentralised Web: The Mastodon Case

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arxiv 1909.05801 v1 pith:FCFEZS62 submitted 2019-09-12 cs.NI cs.CRcs.CY

classification cs.NIcs.CRcs.CY
keywords instancesmastodonplatformscasechallengesdecentralisedinnovationslike
verification ladder T0 review T1 audit T2 compute T3 formal

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The Decentralised Web (DW) has recently seen a renewed momentum, with a number of DW platforms like Mastodon, Peer-Tube, 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. In this paper, we present a measurement-driven exploration of these two innovations, using a popular DW microblogging platform (Mastodon) as a case study. We focus on identifying key challenges that might disrupt continuing efforts to decentralise the web, and empirically highlight a number of properties that are creating natural pressures towards recentralisation. Finally, our measurements shed light on the behaviour of both administrators (i.e., people setting up instances) and regular users who sign-up to the platforms, also discussing a few techniques that may address some of the issues observed.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Data Ethics in the Fediverse: Analyzing the Role of Instance Policies in Mastodon Research

    cs.SI 2025-05 conditional novelty 6.0 of 10

    A systematic review of 29 Mastodon studies finds that researchers rarely engage with instance-level data policies, prompting calls for structural fixes to research ethics on the Fediverse.

  2. A longitudinal analysis of misinformation, polarization and toxicity on Bluesky after its public launch

    cs.SI 2025-05 conditional novelty 6.0 of 10

    Bluesky users after public launch are predominantly left-leaning, share high-credibility sources, exhibit low toxicity, and saw a Japanese-language surge and some spam-like accounts.

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