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        <title>Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks</title>
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    <name type="personal">
        <namePart type="given">Rijul</namePart>
        <namePart type="family">Magu</namePart>
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    <name type="personal">
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            <title>Proceedings of the 2nd Workshop on Abusive Language Online (ALW2)</title>
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        <name type="personal">
            <namePart type="given">Darja</namePart>
            <namePart type="family">Fišer</namePart>
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        <name type="personal">
            <namePart type="given">Ruihong</namePart>
            <namePart type="family">Huang</namePart>
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        <name type="personal">
            <namePart type="given">Vinodkumar</namePart>
            <namePart type="family">Prabhakaran</namePart>
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            <namePart type="given">Rob</namePart>
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            <namePart type="given">Zeerak</namePart>
            <namePart type="family">Waseem</namePart>
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        <name type="personal">
            <namePart type="given">Jacqueline</namePart>
            <namePart type="family">Wernimont</namePart>
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    <abstract>While analysis of online explicit abusive language detection has lately seen an ever-increasing focus, implicit abuse detection remains a largely unexplored space. We carry out a study on a subcategory of implicit hate: euphemistic hate speech. We propose a method to assist in identifying unknown euphemisms (or code words) given a set of hateful tweets containing a known code word. Our approach leverages word embeddings and network analysis (through centrality measures and community detection) in a manner that can be generalized to identify euphemisms across contexts- not just hate speech.</abstract>
    <identifier type="citekey">magu-luo-2018-determining</identifier>
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%0 Conference Proceedings
%T Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks
%A Magu, Rijul
%A Luo, Jiebo
%Y Fišer, Darja
%Y Huang, Ruihong
%Y Prabhakaran, Vinodkumar
%Y Voigt, Rob
%Y Waseem, Zeerak
%Y Wernimont, Jacqueline
%S Proceedings of the 2nd Workshop on Abusive Language Online (ALW2)
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F magu-luo-2018-determining
%X While analysis of online explicit abusive language detection has lately seen an ever-increasing focus, implicit abuse detection remains a largely unexplored space. We carry out a study on a subcategory of implicit hate: euphemistic hate speech. We propose a method to assist in identifying unknown euphemisms (or code words) given a set of hateful tweets containing a known code word. Our approach leverages word embeddings and network analysis (through centrality measures and community detection) in a manner that can be generalized to identify euphemisms across contexts- not just hate speech.
%R 10.18653/v1/W18-5112
%U https://aclanthology.org/W18-5112
%U https://doi.org/10.18653/v1/W18-5112
%P 93-100

Markdown (Informal)

[Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks](https://aclanthology.org/W18-5112) (Magu & Luo, ALW 2018)

• Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks (Magu & Luo, ALW 2018)

ACL

• Rijul Magu and Jiebo Luo. 2018. Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks. In Proceedings of the 2nd Workshop on Abusive Language Online (ALW2), pages 93–100, Brussels, Belgium. Association for Computational Linguistics.