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S. Gaikwad

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#natural language process... Preprint Oct 2026

Language Models Show a"Women-Are-Wonderful"Effect in Blame Attribution That is Not Just Leniency

This paper investigates the Women-Are-Wonderful (WaW) effect in language-model blame attribution: a favorable bias in which women receive more positive evaluations than men. Using 11,270 interpersonal conflicts from r/AmItheAsshole, we construct matched counterfactuals that vary the gender of the person being judged (t...

Anika Sharma, S. Gaikwad, Snigdha Chaturvedi et al. · 0 citations

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