Are Chess Discussions Racist? An Adversarial Hate Speech Data Set
November 20, 2020 ยท Declared Dead ยท ๐ AAAI Conference on Artificial Intelligence
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Authors
Rupak Sarkar, Ashiqur R. KhudaBukhsh
arXiv ID
2011.10280
Category
cs.CL: Computation & Language
Citations
18
Venue
AAAI Conference on Artificial Intelligence
Last Checked
4 months ago
Abstract
On June 28, 2020, while presenting a chess podcast on Grandmaster Hikaru Nakamura, Antonio Radiฤ's YouTube handle got blocked because it contained "harmful and dangerous" content. YouTube did not give further specific reason, and the channel got reinstated within 24 hours. However, Radiฤ speculated that given the current political situation, a referral to "black against white", albeit in the context of chess, earned him this temporary ban. In this paper, via a substantial corpus of 681,995 comments, on 8,818 YouTube videos hosted by five highly popular chess-focused YouTube channels, we ask the following research question: \emph{how robust are off-the-shelf hate-speech classifiers to out-of-domain adversarial examples?} We release a data set of 1,000 annotated comments where existing hate speech classifiers misclassified benign chess discussions as hate speech. We conclude with an intriguing analogy result on racial bias with our findings pointing out to the broader challenge of color polysemy.
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