@inproceedings{moldovan-etal-2022-users,
title = "Users Hate Blondes: Detecting Sexism in User Comments on Online {R}omanian News",
author = {Moldovan, Andreea and
Cs{\"u}r{\"o}s, Karla and
Bucur, Ana-maria and
Bercuci, Loredana},
editor = "Narang, Kanika and
Mostafazadeh Davani, Aida and
Mathias, Lambert and
Vidgen, Bertie and
Talat, Zeerak",
booktitle = "Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH)",
month = jul,
year = "2022",
address = "Seattle, Washington (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.woah-1.21",
doi = "10.18653/v1/2022.woah-1.21",
pages = "230--230",
abstract = "Romania ranks almost last in Europe when it comes to gender equality in political representation, with about 10{\%} fewer women in politics than the E.U. average. We proceed from the assumption that this underrepresentation is also influenced by the sexism and verbal abuse female politicians face in the public sphere, especially in online media. We collect a novel dataset with sexist comments in Romanian language from newspaper articles about Romanian female politicians and propose baseline models using classical machine learning models and fine-tuned pretrained transformer models for the classification of sexist language in the online medium.",
}
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<abstract>Romania ranks almost last in Europe when it comes to gender equality in political representation, with about 10% fewer women in politics than the E.U. average. We proceed from the assumption that this underrepresentation is also influenced by the sexism and verbal abuse female politicians face in the public sphere, especially in online media. We collect a novel dataset with sexist comments in Romanian language from newspaper articles about Romanian female politicians and propose baseline models using classical machine learning models and fine-tuned pretrained transformer models for the classification of sexist language in the online medium.</abstract>
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%0 Conference Proceedings
%T Users Hate Blondes: Detecting Sexism in User Comments on Online Romanian News
%A Moldovan, Andreea
%A Csürös, Karla
%A Bucur, Ana-maria
%A Bercuci, Loredana
%Y Narang, Kanika
%Y Mostafazadeh Davani, Aida
%Y Mathias, Lambert
%Y Vidgen, Bertie
%Y Talat, Zeerak
%S Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH)
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, Washington (Hybrid)
%F moldovan-etal-2022-users
%X Romania ranks almost last in Europe when it comes to gender equality in political representation, with about 10% fewer women in politics than the E.U. average. We proceed from the assumption that this underrepresentation is also influenced by the sexism and verbal abuse female politicians face in the public sphere, especially in online media. We collect a novel dataset with sexist comments in Romanian language from newspaper articles about Romanian female politicians and propose baseline models using classical machine learning models and fine-tuned pretrained transformer models for the classification of sexist language in the online medium.
%R 10.18653/v1/2022.woah-1.21
%U https://aclanthology.org/2022.woah-1.21
%U https://doi.org/10.18653/v1/2022.woah-1.21
%P 230-230
Markdown (Informal)
[Users Hate Blondes: Detecting Sexism in User Comments on Online Romanian News](https://aclanthology.org/2022.woah-1.21) (Moldovan et al., WOAH 2022)
ACL