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    <abstract>[Multiple-submission] In the midst of a generation widely exposed to and influenced by media entertainment, the NLP research community has shown relatively little attention on the sexist comments in popular TV series. To understand sexism in TV series, we propose a way of collecting distant supervision dataset using Character Persona information with the psychological theories on sexism. We assume that sexist characters from TV shows are more prone to making sexist comments when talking about women, and show that this hypothesis is valid through experiment. Finally, we conduct an interesting analysis on popular TV show characters and successfully identify different shades of sexism that is often overlooked.</abstract>
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%0 Conference Proceedings
%T Understanding the Shades of Sexism in Popular TV Series
%A Lee, Nayeon
%A Bang, Yejin
%A Shin, Jamin
%A Fung, Pascale
%Y Axelrod, Amittai
%Y Yang, Diyi
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Waseem, Zeerak
%S Proceedings of the 2019 Workshop on Widening NLP
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F lee-etal-2019-understanding
%X [Multiple-submission] In the midst of a generation widely exposed to and influenced by media entertainment, the NLP research community has shown relatively little attention on the sexist comments in popular TV series. To understand sexism in TV series, we propose a way of collecting distant supervision dataset using Character Persona information with the psychological theories on sexism. We assume that sexist characters from TV shows are more prone to making sexist comments when talking about women, and show that this hypothesis is valid through experiment. Finally, we conduct an interesting analysis on popular TV show characters and successfully identify different shades of sexism that is often overlooked.
%U https://aclanthology.org/W19-3638
%P 122-125

Markdown (Informal)

[Understanding the Shades of Sexism in Popular TV Series](https://aclanthology.org/W19-3638) (Lee et al., WiNLP 2019)

• Understanding the Shades of Sexism in Popular TV Series (Lee et al., WiNLP 2019)

ACL

• Nayeon Lee, Yejin Bang, Jamin Shin, and Pascale Fung. 2019. Understanding the Shades of Sexism in Popular TV Series. In Proceedings of the 2019 Workshop on Widening NLP, pages 122–125, Florence, Italy. Association for Computational Linguistics.