“Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification? - Archive ouverte HAL Access content directly
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“Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification?

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Abstract

In this paper, we focus on the detection of sexist hate speech against women in tweets studying for the first time the impact of gender stereotype detection on sexism classification. We propose: (1) the first dataset annotated for gender stereotype detection, (2) a new method for data augmentation based on sentence similarity with multilingual external datasets, and (3) a set of deep learning experiments first to detect gender stereotypes and then, to use this auxiliary task for sexism detection. Although the presence of stereotypes does not necessarily entail hateful content, our results show that sexism classification can definitively benefit from gender stereotype detection.
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Dates and versions

hal-03468351 , version 1 (07-12-2021)

Licence

Attribution - NonCommercial - CC BY 4.0

Identifiers

  • HAL Id : hal-03468351 , version 1

Cite

Patricia Chiril, Farah Benamara, Véronique Moriceau. “Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification?. Conference on Findings of the Association for Computational Linguistics (EMNLP 2021), ACL: Association for Computational Linguistics, Nov 2021, Punta Cana, Dominican Republic. pp.2833-2844. ⟨hal-03468351⟩
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