Content Moderation and Hate Speech on Alternative Platforms: A Case Study of BitChute

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Abstract

Frustration with mainstream social media platforms and their content moderation decisions have prompted many users to search for “anti-censorship” alternatives, such as those in alt-tech, which may be used to share extreme or hateful content. The tension in alt-tech between limiting perceived censorship and reducing hate speech means that content moderation policies are essential but also controversial. Nevertheless, alt-tech content moderation policies are understudied. To address this research gap, we leverage quasi-experimental design to measure the impact of an “incitement to hatred” policy change using 5.2 million comments and the metadata of 800 thousand videos from the alt-tech platform BitChute. We uncover evidence for a “backlash effect,” finding that after the implementation of the policy, hate speech increased significantly for comments and video metadata. This study contributes to the literature on content moderation policies in a challenging context where users may not be receptive to perceived impositions.

Original languageEnglish
Article numberCSCW052
JournalProceedings of the ACM on Human-Computer Interaction
Volume9
Issue number2
DOIs
StatePublished - 2 May 2025

Keywords

  • Alt-Tech
  • Content Moderation
  • Feature Design
  • Hate Speech
  • Natural Field Experiment
  • Social Media
  • Text Analysis

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