BiasMedium
Facebook’s Hate Speech Detection Algorithms Allegedly Disproportionately Failed to Remove Racist Content towards Minority Groups
- Occurred
- Nov 21, 2021
- Published
- Oct 15, 2021
- Source
- AI Incident Database
Summary
Facebook’s hate-speech detection algorithms was found by company researchers to have under-reported less common but more harmful content that was more often experienced by minority groups such as Black, Muslim, LGBTQ, and Jewish users.
Developers
Deployers
Harmed parties
- Facebook users
- Minority groups
Classification
Category confidence: 95%
Severity confidence: 90%
Rationale: Algorithmic bias in hate speech detection disproportionately affects minority groups, representing a documented fairness failure.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8