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        <title>Inducing lexicons of in-group language with socio-temporal context</title>
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        <namePart type="given">Christine</namePart>
        <namePart type="family">de Kock</namePart>
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            <namePart type="given">Wanxiang</namePart>
            <namePart type="family">Che</namePart>
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            <namePart type="given">Joyce</namePart>
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        <name type="personal">
            <namePart type="given">Ekaterina</namePart>
            <namePart type="family">Shutova</namePart>
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            <namePart type="given">Mohammad</namePart>
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    <abstract>In-group language is an important signifier of group dynamics. This paper proposes a novel method for inducing lexicons of in-group language, which incorporates its socio-temporal context. Existing methods for lexicon induction do not capture the evolving nature of in-group language, nor the social structure of the community. Using dynamic word and user embeddings trained on conversations from online anti-women communities, our approach outperforms prior methods for lexicon induction. We develop a test set for the task of lexicon induction and a new lexicon of manosphere language, validated by human experts, which quantifies the relevance of each term to a specific sub-community at a given point in time. Finally, we present novel insights on in-group language which illustrate the utility of this approach.</abstract>
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    <identifier type="doi">10.18653/v1/2025.acl-long.650</identifier>
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%0 Conference Proceedings
%T Inducing lexicons of in-group language with socio-temporal context
%A de Kock, Christine
%Y Che, Wanxiang
%Y Nabende, Joyce
%Y Shutova, Ekaterina
%Y Pilehvar, Mohammad Taher
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-251-0
%F de-kock-2025-inducing
%X In-group language is an important signifier of group dynamics. This paper proposes a novel method for inducing lexicons of in-group language, which incorporates its socio-temporal context. Existing methods for lexicon induction do not capture the evolving nature of in-group language, nor the social structure of the community. Using dynamic word and user embeddings trained on conversations from online anti-women communities, our approach outperforms prior methods for lexicon induction. We develop a test set for the task of lexicon induction and a new lexicon of manosphere language, validated by human experts, which quantifies the relevance of each term to a specific sub-community at a given point in time. Finally, we present novel insights on in-group language which illustrate the utility of this approach.
%R 10.18653/v1/2025.acl-long.650
%U https://aclanthology.org/2025.acl-long.650/
%U https://doi.org/10.18653/v1/2025.acl-long.650
%P 13281-13291

Markdown (Informal)

[Inducing lexicons of in-group language with socio-temporal context](https://aclanthology.org/2025.acl-long.650/) (de Kock, ACL 2025)

• Inducing lexicons of in-group language with socio-temporal context (de Kock, ACL 2025)

ACL

• Christine de Kock. 2025. Inducing lexicons of in-group language with socio-temporal context. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 13281–13291, Vienna, Austria. Association for Computational Linguistics.