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    <titleInfo>
        <title>Gender Stereotypes Differ between Male and Female Writings</title>
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    <name type="personal">
        <namePart type="given">Yusu</namePart>
        <namePart type="family">Qian</namePart>
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            <title>Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop</title>
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        <name type="personal">
            <namePart type="given">Fernando</namePart>
            <namePart type="family">Alva-Manchego</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Eunsol</namePart>
            <namePart type="family">Choi</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Daniel</namePart>
            <namePart type="family">Khashabi</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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    <abstract>Written language often contains gender stereotypes, typically conveyed unintentionally by the author. To study the difference in how female and male authors portray people of different genders, we quantitatively evaluate and analyze the gender stereotypes in their writings on two different datasets and from multiple aspects. We show that writings by females on average have lower gender stereotype scores. We plan to study and interpret the distributions of gender stereotype scores of individual words, and how they differ between male and female writings. We also plan on using more datasets over the past century to study how the stereotypes in female and male writings evolved over time.</abstract>
    <identifier type="citekey">qian-2019-gender</identifier>
    <identifier type="doi">10.18653/v1/P19-2007</identifier>
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        <url>https://aclanthology.org/P19-2007</url>
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        <date>2019-07</date>
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%0 Conference Proceedings
%T Gender Stereotypes Differ between Male and Female Writings
%A Qian, Yusu
%Y Alva-Manchego, Fernando
%Y Choi, Eunsol
%Y Khashabi, Daniel
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F qian-2019-gender
%X Written language often contains gender stereotypes, typically conveyed unintentionally by the author. To study the difference in how female and male authors portray people of different genders, we quantitatively evaluate and analyze the gender stereotypes in their writings on two different datasets and from multiple aspects. We show that writings by females on average have lower gender stereotype scores. We plan to study and interpret the distributions of gender stereotype scores of individual words, and how they differ between male and female writings. We also plan on using more datasets over the past century to study how the stereotypes in female and male writings evolved over time.
%R 10.18653/v1/P19-2007
%U https://aclanthology.org/P19-2007
%U https://doi.org/10.18653/v1/P19-2007
%P 48-53

Markdown (Informal)

[Gender Stereotypes Differ between Male and Female Writings](https://aclanthology.org/P19-2007) (Qian, ACL 2019)

• Gender Stereotypes Differ between Male and Female Writings (Qian, ACL 2019)

ACL

• Yusu Qian. 2019. Gender Stereotypes Differ between Male and Female Writings. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 48–53, Florence, Italy. Association for Computational Linguistics.