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        <title>Political dogwhistles and community divergence in semantic change</title>
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        <namePart type="given">Max</namePart>
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            <title>Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change</title>
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        <name type="personal">
            <namePart type="given">Nina</namePart>
            <namePart type="family">Tahmasebi</namePart>
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            <namePart type="given">Syrielle</namePart>
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        <name type="personal">
            <namePart type="given">Haim</namePart>
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    <abstract>We test whether the development of political dogwhistles can be observed using language change measures; specifically, does the development of a “hidden” message in a dogwhistle show up as differences in semantic change between communities over time? We take Swedish-language dogwhistles related to the on-going immigration debate and measure differences over time in their rate of semantic change between two Swedish-language community forums, Flashback and Familjeliv, the former representing an in-group for understanding the “hidden” meaning of the dogwhistles. We find that multiple measures are sensitive enough to detect differences over time, in that the meaning changes in Flashback over the relevant time period but not in Familjeliv. We also examine the sensitivity of multiple modeling approaches to semantic change in the matter of community divergence.</abstract>
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    <identifier type="doi">10.18653/v1/2023.lchange-1.6</identifier>
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%0 Conference Proceedings
%T Political dogwhistles and community divergence in semantic change
%A Boholm, Max
%A Sayeed, Asad
%Y Tahmasebi, Nina
%Y Montariol, Syrielle
%Y Dubossarsky, Haim
%Y Kutuzov, Andrey
%Y Hengchen, Simon
%Y Alfter, David
%Y Periti, Francesco
%Y Cassotti, Pierluigi
%S Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F boholm-sayeed-2023-political-dogwhistles
%X We test whether the development of political dogwhistles can be observed using language change measures; specifically, does the development of a “hidden” message in a dogwhistle show up as differences in semantic change between communities over time? We take Swedish-language dogwhistles related to the on-going immigration debate and measure differences over time in their rate of semantic change between two Swedish-language community forums, Flashback and Familjeliv, the former representing an in-group for understanding the “hidden” meaning of the dogwhistles. We find that multiple measures are sensitive enough to detect differences over time, in that the meaning changes in Flashback over the relevant time period but not in Familjeliv. We also examine the sensitivity of multiple modeling approaches to semantic change in the matter of community divergence.
%R 10.18653/v1/2023.lchange-1.6
%U https://aclanthology.org/2023.lchange-1.6
%U https://doi.org/10.18653/v1/2023.lchange-1.6
%P 53-65

Markdown (Informal)

[Political dogwhistles and community divergence in semantic change](https://aclanthology.org/2023.lchange-1.6) (Boholm & Sayeed, LChange 2023)

• Political dogwhistles and community divergence in semantic change (Boholm & Sayeed, LChange 2023)

ACL

• Max Boholm and Asad Sayeed. 2023. Political dogwhistles and community divergence in semantic change. In Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change, pages 53–65, Singapore. Association for Computational Linguistics.