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Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language
[article]
2021
arXiv
pre-print
Online misogyny has become an increasing worry for Arab women who experience gender-based online abuse on a daily basis. Misogyny automatic detection systems can assist in the prohibition of anti-women Arabic toxic content. Developing such systems is hindered by the lack of the Arabic misogyny benchmark datasets. In this paper, we introduce an Arabic Levantine Twitter dataset for Misogynistic language (LeT-Mi) to be the first benchmark dataset for Arabic misogyny. We further provide a detailed
arXiv:2103.10195v1
fatcat:cujq6m735zfrrpbj2xblgd5mlu