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On Gender Bias in Fake News. (arXiv:2209.11984v2 [cs.CY] UPDATED)
Sept. 28, 2022, 1:13 a.m. | Navya Sahadevan, Deepak P
cs.LG updates on arXiv.org arxiv.org
Data science research into fake news has gathered much momentum in recent
years, arguably facilitated by the emergence of large public benchmark
datasets. While it has been well-established within media studies that gender
bias is an issue that pervades news media, there has been very little
exploration into the relationship between gender bias and fake news. In this
work, we provide the first empirical analysis of gender bias vis-a-vis fake
news, leveraging simple and transparent lexicon-based methods over public
benchmark …
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