Automatic detection of sexism in social media
with a multilingual approach

Altin, Lutfiye Seda Mut; Saggion, Horacio

Automatic detection of sexism in social media with a multilingual approach

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Citation

Altin LSM, Saggion H. Automatic detection of sexism in social media with a multilingual approach. In: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021); 2021 Sep 21; Málaga, Espanya. [Málaga]: CEUR Workshop Proceedings Series;2021. p. [415-9].

Abstract

This paper describes the participation of the LaSTUS/TALN team in the shared task EXIST: sEXism Identification in Social neTworks at IberLEF 2021. EXIST promotes the development of classification systems able to spot sexism in social media posts in English and Spanish. More specifically a binary classification task is proposed to classify posts in either sexist or not sexist, while a multi-class task challenges systems to identify the type of sexism present in the post. We address the two tasks with a transformers-based system applying a multi-lingual BERT model. The paper reports and discusses the results obtained by our team.