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Enriching Abusive Language Detection with Community Context. (arXiv:2206.08445v1 [cs.CL])
Web: http://arxiv.org/abs/2206.08445
June 20, 2022, 1:12 a.m. | Jana Kurrek, Haji Mohammad Saleem, Derek Ruths
cs.CL updates on arXiv.org arxiv.org
Uses of pejorative expressions can be benign or actively empowering. When
models for abuse detection misclassify these expressions as derogatory, they
inadvertently censor productive conversations held by marginalized groups. One
way to engage with non-dominant perspectives is to add context around
conversations. Previous research has leveraged user- and thread-level features,
but it often neglects the spaces within which productive conversations take
place. Our paper highlights how community context can improve classification
outcomes in abusive language detection. We make two main …
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