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    <titleInfo>
        <title>Social and linguistic behavior and its correlation to trait empathy</title>
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        <namePart type="given">Marina</namePart>
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        <namePart type="given">Jahna</namePart>
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    <name type="personal">
        <namePart type="given">Chee</namePart>
        <namePart type="given">Siang</namePart>
        <namePart type="family">Ang</namePart>
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    <name type="personal">
        <namePart type="given">David</namePart>
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            <title>Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES)</title>
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        <name type="personal">
            <namePart type="given">Malvina</namePart>
            <namePart type="family">Nissim</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Viviana</namePart>
            <namePart type="family">Patti</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Barbara</namePart>
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    <abstract>A growing body of research exploits social media behaviors to gauge psychological character-istics, though trait empathy has received little attention. Because of its intimate link to the abil-ity to relate to others, our research aims to predict participants’ levels of empathy, given their textual and friending behaviors on Facebook. Using Poisson regression, we compared the vari-ance explained in Davis’ Interpersonal Reactivity Index (IRI) scores on four constructs (em-pathic concern, personal distress, fantasy, perspective taking), by two classes of variables: 1) post content and 2) linguistic style. Our study lays the groundwork for a greater understanding of empathy’s role in facilitating interactions on social media.</abstract>
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%0 Conference Proceedings
%T Social and linguistic behavior and its correlation to trait empathy
%A Litvak, Marina
%A Otterbacher, Jahna
%A Ang, Chee Siang
%A Atkins, David
%Y Nissim, Malvina
%Y Patti, Viviana
%Y Plank, Barbara
%S Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F litvak-etal-2016-social
%X A growing body of research exploits social media behaviors to gauge psychological character-istics, though trait empathy has received little attention. Because of its intimate link to the abil-ity to relate to others, our research aims to predict participants’ levels of empathy, given their textual and friending behaviors on Facebook. Using Poisson regression, we compared the vari-ance explained in Davis’ Interpersonal Reactivity Index (IRI) scores on four constructs (em-pathic concern, personal distress, fantasy, perspective taking), by two classes of variables: 1) post content and 2) linguistic style. Our study lays the groundwork for a greater understanding of empathy’s role in facilitating interactions on social media.
%U https://aclanthology.org/W16-4314
%P 128-137

Markdown (Informal)

[Social and linguistic behavior and its correlation to trait empathy](https://aclanthology.org/W16-4314) (Litvak et al., PEOPLES 2016)

• Social and linguistic behavior and its correlation to trait empathy (Litvak et al., PEOPLES 2016)

ACL

• Marina Litvak, Jahna Otterbacher, Chee Siang Ang, and David Atkins. 2016. Social and linguistic behavior and its correlation to trait empathy. In Proceedings of the Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES), pages 128–137, Osaka, Japan. The COLING 2016 Organizing Committee.