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    <titleInfo>
        <title>Dogwhistles as Identity-based interpretative variation</title>
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        <namePart type="given">Quentin</namePart>
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    <name type="personal">
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            <title>Proceedings of the Probability and Meaning Conference (PaM 2020)</title>
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            <namePart type="given">Christine</namePart>
            <namePart type="family">Howes</namePart>
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        <name type="personal">
            <namePart type="given">Stergios</namePart>
            <namePart type="family">Chatzikyriakidis</namePart>
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        <name type="personal">
            <namePart type="given">Adam</namePart>
            <namePart type="family">Ek</namePart>
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        <name type="personal">
            <namePart type="given">Vidya</namePart>
            <namePart type="family">Somashekarappa</namePart>
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    <abstract>The following paper presents a formal model for the description of dogwhistles. Dogwhistles are a class of terms or expressions often used in political discourse that are used with the goal of being interpreted in different ways by different communities. The model presented here describes this phenomenon using a variation on the Social Meaning Games framework that uses probability distributions over possible interpretation functions as well as RSA/IBR reasoning.</abstract>
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%0 Conference Proceedings
%T Dogwhistles as Identity-based interpretative variation
%A Dénigot, Quentin
%A Burnett, Heather
%Y Howes, Christine
%Y Chatzikyriakidis, Stergios
%Y Ek, Adam
%Y Somashekarappa, Vidya
%S Proceedings of the Probability and Meaning Conference (PaM 2020)
%D 2020
%8 June
%I Association for Computational Linguistics
%C Gothenburg
%F denigot-burnett-2020-dogwhistles
%X The following paper presents a formal model for the description of dogwhistles. Dogwhistles are a class of terms or expressions often used in political discourse that are used with the goal of being interpreted in different ways by different communities. The model presented here describes this phenomenon using a variation on the Social Meaning Games framework that uses probability distributions over possible interpretation functions as well as RSA/IBR reasoning.
%U https://aclanthology.org/2020.pam-1.3
%P 17-25

Markdown (Informal)

[Dogwhistles as Identity-based interpretative variation](https://aclanthology.org/2020.pam-1.3) (Dénigot & Burnett, PaM 2020)

• Dogwhistles as Identity-based interpretative variation (Dénigot & Burnett, PaM 2020)

ACL

• Quentin Dénigot and Heather Burnett. 2020. Dogwhistles as Identity-based interpretative variation. In Proceedings of the Probability and Meaning Conference (PaM 2020), pages 17–25, Gothenburg. Association for Computational Linguistics.