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October 18, 2025Proceedings of the ACM on Human-Computer InteractionOpen Access

HateBuffer: Safeguarding Content Moderators' Mental Well-Being through Hate Speech Content Modification

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Authors

SPSubin ParkJKJeonghyun KIMJCJeanne Choi

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Overview

User study finds HateBuffer lowers hate speech severity ratings for moderators, suggesting it may help prevent emotional contagion.

Key Points

  • Participants reported lower hate severity ratings when using HateBuffer, implying potential for improved engagement with harmful content.
  • While mental fatigue was unchanged for users, interviews highlighted HateBuffer's role in alleviating emotional contagion from hate speech.
  • Accuracy in moderation was not compromised by HateBuffer, with a noted slight increase in recall during the evaluation process.
  • The study reveals a gap between perceived benefits of HateBuffer and its actual impact on the mental well-being of content moderators.

Cite This Study

Park et al. (2025) studied this question.

synapsesocial.com/papers/68f3793258f37cefb60d35cahttps://doi.org/10.1145/3757609
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Emotionally Aware Moderation: The Potential of Emotion Monitoring in Shaping Healthier Social Media Conversations2025 · 3 citations
  2. 2The distribution of hate speech and its implications for content moderation2025
  3. 3What If Moderation Didn’t Mean Suppression? A Case for Personalized Content Transformation2026 · 1 citations
  4. 4Collective moderation of hate, toxicity, and extremity in online discussions2025
  5. 5Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster2024