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SRC-26dd299e302033ce · Source record

Stereotype or Personalization? User Identity Biases Chatbot Recommendations

Association for Computational Linguistics / Findings of ACL 2025 · 1 connected claims

Canonical route

https://aclanthology.org/2025.findings-acl.1254/

Claims connected to this source

  1. MWITA-ASDO-2026-012Explicit or implicit cues to a user's racial identity significantly changed recommendations across popular consumer LLMs, while model explanations obscured that identity had influenced the output.Evidence A

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