Content Moderation and Hate Speech on Alternative Platforms: A Case Study of BitChute
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.
Authors
- Jacob Erickson
- Bei Yan (ORCID: https://orcid.org/0000-0001-9737-5308)
Institutions
- Stevens Institute of Technology (US)
- Vassar College (US)
Publication Details
- Journal
- Proceedings of the ACM on Human-Computer Interaction
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1145/3710950
- Citations
- 2
- Primary Topic
- Hate Speech and Cyberbullying Detection
- Type
- article
- Field-Weighted Citation Impact
- 4.96