April 29, 2024, 4:47 a.m. | Fatma Elsafoury

cs.CL updates on arXiv.org arxiv.org

arXiv:2308.10684v2 Announce Type: replace
Abstract: In this paper, we propose a new metric to measure the SOS bias in language models (LMs). Then, we validate the SOS bias and investigate the effectiveness of removing it. Finally, we investigate the impact of the SOS bias in LMs on their performance and fairness on hate speech detection. Our results suggest that all the inspected LMs are SOS biased. And that the SOS bias is reflective of the online hate experienced by marginalized …

abstract arxiv bias cs.cl fairness finally impact language language models lms paper performance type

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