Safe Spaces or Toxic Places? Content Moderation and Social Dynamics of Online Eating Disorder Communities
Kristina Lerman, Minh Duc Chu, Charles Bickham, Luca Luceri, Emilio, Ferrara

TL;DR
This study compares how different social media platforms' moderation strategies affect the nature of online eating disorder communities, revealing that weaker moderation can foster toxic echo chambers that promote harmful content.
Contribution
It provides a comparative analysis of content moderation effects on eating disorder discussions across Twitter/X, Reddit, and TikTok, highlighting the influence on community dynamics.
Findings
Weaker moderation correlates with toxic echo chambers.
Platforms with stricter moderation reduce harmful content.
User engagement patterns are similar across platforms.
Abstract
Social media platforms have become critical spaces for discussing mental health concerns, including eating disorders. While these platforms can provide valuable support networks, they may also amplify harmful content that glorifies disordered cognition and self-destructive behaviors. While social media platforms have implemented various content moderation strategies, from stringent to laissez-faire approaches, we lack a comprehensive understanding of how these different moderation practices interact with user engagement in online communities around these sensitive mental health topics. This study addresses this knowledge gap through a comparative analysis of eating disorder discussions across Twitter/X, Reddit, and TikTok. Our findings reveal that while users across all platforms engage similarly in expressing concerns and seeking support, platforms with weaker moderation (like…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSexuality, Behavior, and Technology · Gender, Feminism, and Media · Hate Speech and Cyberbullying Detection
