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The Failed Migration of Academic Twitter: A Case Study of Precocious Adopters

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arxiv 2406.04005 v4 pith:FXTZ2PSM submitted 2024-06-06 cs.SI

classification cs.SI
keywords adopterstwitterearlymastodonmigrationchangesacademicacademics
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Following changes in Twitter's ownership in 2022 and subsequent changes to content moderation policies, many in academia looked to move their discourse elsewhere and migration to Mastodon was pursued by some. Our study examines the behavior of a self-organized group of early academic adopters who joined Mastodon following changes in Twitter's ownership. Utilizing publicly available user account data drawn from a voluntarily curated list of academics, we track the posting activity of these early adopters on Mastodon over a one-year period. We also study follower-followee and interaction relationships to map internal networks, finding that the subset of academics who migrated to Mastodon were well-connected. However, this strong internal connectivity was insufficient to prevent users from returning to Twitter/X. Our analyses show that early adopters struggled to maintain engagement, shaped by Mastodon's decentralized design and competition from alternatives such as Bluesky and Threads. The migration effort lost momentum after an initial surge, as most early adopters reduced activity or returned to Twitter. Our survival analysis further reveals that retention is strongly linked to diverse cross-server engagement and topic-specific server communities. Users with large pre-existing Twitter presence face significantly higher attrition risk, highlighting the challenge of replicating established social connections in a decentralized ecosystem. By examining the coordinated migration attempt of early adopters, we find that even this highly motivated group faced substantial challenges, suggesting that later or less coordinated efforts would likely encounter even greater barriers.

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Cited by 1 Pith paper

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  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.

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