May 20, 2022, 1:11 a.m. | Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury

cs.CL updates on arXiv.org arxiv.org

We introduce a generic, language-independent method to collect a large
percentage of offensive and hate tweets regardless of their topics or genres.
We harness the extralinguistic information embedded in the emojis to collect a
large number of offensive tweets. We apply the proposed method on Arabic tweets
and compare it with English tweets - analysing key cultural differences. We
observed a constant usage of these emojis to represent offensiveness throughout
different timespans on Twitter. We manually annotate and publicly release …

arxiv hate speech language speech

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