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    <abstract>Tasks such as toxicity detection, hate speech detection, and online harassment detection have been developed for identifying interactions involving offensive speech. In this work we articulate the need for a relational understanding of offensiveness to help distinguish denotative offensive speech from offensive speech serving as a mechanism through which marginalized communities resist oppressive social norms. Using examples from the queer community, we argue that evaluations of offensive speech must focus on the impacts of language use. We call this the cynic perspective– or a characteristic of language with roots in Cynic philosophy that pertains to employing offensive speech as a practice of resistance. We also explore the degree to which NLP systems may encounter limits to modeling relational context.</abstract>
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%0 Conference Proceedings
%T Accounting for Offensive Speech as a Practice of Resistance
%A Diaz, Mark
%A Amironesei, Razvan
%A Weidinger, Laura
%A Gabriel, Iason
%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 diaz-etal-2022-accounting
%X Tasks such as toxicity detection, hate speech detection, and online harassment detection have been developed for identifying interactions involving offensive speech. In this work we articulate the need for a relational understanding of offensiveness to help distinguish denotative offensive speech from offensive speech serving as a mechanism through which marginalized communities resist oppressive social norms. Using examples from the queer community, we argue that evaluations of offensive speech must focus on the impacts of language use. We call this the cynic perspective– or a characteristic of language with roots in Cynic philosophy that pertains to employing offensive speech as a practice of resistance. We also explore the degree to which NLP systems may encounter limits to modeling relational context.
%R 10.18653/v1/2022.woah-1.18
%U https://aclanthology.org/2022.woah-1.18
%U https://doi.org/10.18653/v1/2022.woah-1.18
%P 192-202

Markdown (Informal)

[Accounting for Offensive Speech as a Practice of Resistance](https://aclanthology.org/2022.woah-1.18) (Diaz et al., WOAH 2022)

• Accounting for Offensive Speech as a Practice of Resistance (Diaz et al., WOAH 2022)

ACL

• Mark Diaz, Razvan Amironesei, Laura Weidinger, and Iason Gabriel. 2022. Accounting for Offensive Speech as a Practice of Resistance. In Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH), pages 192–202, Seattle, Washington (Hybrid). Association for Computational Linguistics.