@inproceedings{magu-luo-2018-determining,
    title = "Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks",
    author = "Magu, Rijul  and
      Luo, Jiebo",
    editor = "Fi{\v{s}}er, Darja  and
      Huang, Ruihong  and
      Prabhakaran, Vinodkumar  and
      Voigt, Rob  and
      Waseem, Zeerak  and
      Wernimont, Jacqueline",
    booktitle = "Proceedings of the 2nd Workshop on Abusive Language Online ({ALW}2)",
    month = oct,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W18-5112/",
    doi = "10.18653/v1/W18-5112",
    pages = "93--100",
    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."
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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>
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            <title>Proceedings of the 2nd Workshop on Abusive Language Online (ALW2)</title>
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            <namePart type="given">Darja</namePart>
            <namePart type="family">Fišer</namePart>
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        <name type="personal">
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        <name type="personal">
            <namePart type="given">Vinodkumar</namePart>
            <namePart type="family">Prabhakaran</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>
    <identifier type="doi">10.18653/v1/W18-5112</identifier>
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    <part>
        <date>2018-10</date>
        <extent unit="page">
            <start>93</start>
            <end>100</end>
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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)
ACL