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        <title>A Weakly Supervised Classifier and Dataset of White Supremacist Language</title>
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        <namePart type="given">Michael</namePart>
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        <namePart type="given">Ahmad</namePart>
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            <namePart type="given">Anna</namePart>
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    <abstract>We present a dataset and classifier for detecting the language of white supremacist extremism, a growing issue in online hate speech. Our weakly supervised classifier is trained on large datasets of text from explicitly white supremacist domains paired with neutral and anti-racist data from similar domains. We demonstrate that this approach improves generalization performance to new domains. Incorporating anti-racist texts as counterexamples to white supremacist language mitigates bias.</abstract>
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    <identifier type="doi">10.18653/v1/2023.acl-short.17</identifier>
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%0 Conference Proceedings
%T A Weakly Supervised Classifier and Dataset of White Supremacist Language
%A Yoder, Michael
%A Diab, Ahmad
%A Brown, David
%A Carley, Kathleen
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F yoder-etal-2023-weakly
%X We present a dataset and classifier for detecting the language of white supremacist extremism, a growing issue in online hate speech. Our weakly supervised classifier is trained on large datasets of text from explicitly white supremacist domains paired with neutral and anti-racist data from similar domains. We demonstrate that this approach improves generalization performance to new domains. Incorporating anti-racist texts as counterexamples to white supremacist language mitigates bias.
%R 10.18653/v1/2023.acl-short.17
%U https://aclanthology.org/2023.acl-short.17
%U https://doi.org/10.18653/v1/2023.acl-short.17
%P 172-185

Markdown (Informal)

[A Weakly Supervised Classifier and Dataset of White Supremacist Language](https://aclanthology.org/2023.acl-short.17) (Yoder et al., ACL 2023)

• A Weakly Supervised Classifier and Dataset of White Supremacist Language (Yoder et al., ACL 2023)

ACL

• Michael Yoder, Ahmad Diab, David Brown, and Kathleen Carley. 2023. A Weakly Supervised Classifier and Dataset of White Supremacist Language. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 172–185, Toronto, Canada. Association for Computational Linguistics.