mlsanityData to 7 Oct 2026

Understanding Online Migration Decisions Following the Banning of Radical Communities

arXiv 2212.04765 ↗First posted 9 Dec 2022cs.SI cs.CL physics.soc-phcited by 6

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Abstract (arXiv)

The proliferation of radical online communities and their violent offshoots has sparked great societal concern. However, the current practice of banning such communities from mainstream platforms has unintended consequences: (I) the further radicalization of their members in fringe platforms where they migrate; and (ii) the spillover of harmful content from fringe back onto mainstream platforms. Here, in a large observational study on two banned subreddits, r/TheDonald and r/fatpeoplehate, we examine how factors associated with the RECRO radicalization framework relate to users' migration decisions. Specifically, we quantify how these factors affect users' decisions to post on fringe platforms and, for those who do, whether they continue posting on the mainstream platform. Our results show that individual-level factors, those relating to the behavior of users, are associated with the decision to post on the fringe platform. Whereas social-level factors, users' connection with the radical community, only affect the propensity to be coactive on both platforms. Overall, our findings pave the way for evidence-based moderation policies, as the decisions to migrate and remain coactive amplify unintended consequences of community bans.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 17 of its 51 references that are in the map. First posted on arXiv 9 Dec 2022.

Builds on

17 of 51 references.

References · 17

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2016node2vec: Scalable Feature Learning for Networkscited by 1,913
  3. 2020The Pushshift Reddit Datasetcited by 289
  4. 2018On the Origins of Memes by Means of Fringe Web Communitiescited by 45
  5. 2020Quantifying social organization and political polarization in online platformscited by 30
  6. 2020Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generationcited by 18
  7. 2020Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incelscited by 15
  8. 2022Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banningcited by 14
  9. 2020Measuring and Characterizing Hate Speech on News Websitescited by 12
  10. 2022Pathways through Conspiracy: The Evolution of Conspiracy Radicalization through Engagement in Online Conspiracy Discussionscited by 8
  11. 2022An Ordinal Latent Variable Model of Conflict Intensitycited by 6
  12. 2019From Welcome New Gabbers to the Pittsburgh Synagogue Shooting: The Evolution of Gabcited by 5
5 more
  1. 2018Mobilizing the Trump Train: Understanding Collective Action in a Political Trolling Communitycited by 4
  2. 2021Comparing the Language of QAnon-related content on Parler, Gab, and Twittercited by 4
  3. 2022Disentangling Active and Passive Cosponsorship in the U.S. Congresscited by 4
  4. 2021Soros, Child Sacrifices, and 5G: Understanding the Spread of Conspiracy Theories on Web Communitiescited by 3
  5. 2022"I Can't Keep It Up." A Dataset from the Defunct Voat.co News Aggregatorcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 0; 2025: 1; 2026: 1.

6 papers.