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Found 2 papers, 1 papers with code
Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements?
This work investigates the effect of gender-stereotypical biases in the content of retrieved results on the relevance judgement of users/annotators.
Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results
To facilitate the studies of gender bias in the retrieval results of IR systems, we introduce Gender Representation-Bias for Information Retrieval (Grep-BiasIR), a novel thoroughly-audited dataset consisting of 118 bias-sensitive neutral search queries.
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