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Facebook’s Hate Speech Detection Algorithms Allegedly Disproportionately Failed to Remove Racist Content towards Minority Groups
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.
- Date it happened
- 2021-11-21
- Organisation involved
- Product, system or model
- Facebook's content moderation algorithms are intended to detect hate speech automatically and flag it for review and possible removal. "Algorithm detection is important not just because it's more effi
Where this came from
Attribution
This incident was imported from AI Incident Database and is used under CC BY-SA 4.0. Our additions to it — the structured fields, the translation, the checks against other reports — are published under the same licence.
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