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Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study

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arxiv 2305.09196 v4 pith:YJ3QCAQJ submitted 2023-05-16 cs.SI cs.CY

Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study

classification cs.SI cs.CY
keywords mastodonmigrationtwitteruseruserspatternsbehaviorbehavioral
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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A recent surge of users migrating from Twitter to alternative platforms, such as Mastodon, raised questions regarding what migration patterns are, how different platforms impact user behaviors, and how migrated users settle in the migration process. In this study, we elaborate on how we investigate these questions by collecting data over 10,000 users who migrated from Twitter to Mastodon within the first ten weeks following the ownership change of Twitter. Our research is structured in three primary steps. First, we develop algorithms to extract and analyze migration patterns. Second, by leveraging behavioral analysis, we examine the distinct architectures of Twitter and Mastodon to learn how user behaviors correspond with the characteristics of each platform. Last, we determine how particular behavioral factors influence users to stay on Mastodon. We share our findings of user migration, insights, and lessons learned from the user behavior study.

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Cited by 1 Pith paper

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

  1. Federating Governance: How Community Rules Scale with Mastodon Instances

    cs.SI 2026-06 unverdicted novelty 5.0

    Larger Mastodon instances develop more extensive, topically diverse rules that are less readable, with consistent focus on problematic content and limited federation effects.