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Measuring Bias in a Ranked List using Term-based Representations
March 12, 2024, 4:51 a.m. | Amin Abolghasemi, Leif Azzopardi, Arian Askari, Maarten de Rijke, Suzan Verberne
cs.CL updates on arXiv.org arxiv.org
Abstract: In most recent studies, gender bias in document ranking is evaluated with the NFaiRR metric, which measures bias in a ranked list based on an aggregation over the unbiasedness scores of each ranked document. This perspective in measuring the bias of a ranked list has a key limitation: individual documents of a ranked list might be biased while the ranked list as a whole balances the groups' representations. To address this issue, we propose a …
abstract aggregation arxiv bias cs.cl document gender gender bias list measuring perspective ranking studies type
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