Emergence of Things Felt: Harnessing the Semantic Space of Facebook Feeling Tags

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    Abstrakt

    In 2013 Facebook launched a feature allowing users to add a feeling tag to their posts. We have collected 18 months worth of such public posts. Our aim is to map the semantic space of ‘Facebook feelings’ to understand patterns in how feelings are tagged and how they can be described in terms of valence and arousal. Our findings reveal temporal and social patterns in the most commonly shared feelings. In line with the ‘exhibitional’ nature of Facebook, our analyses indicate that ‘extreme’ feelings, such as excitement and anger, may be expressed in even more extreme levels of both valence and arousal. Facebook also provides novel emotional scripts (e.g., “meh”) that help people express feelings in ways that traditionally socialized feelings do not. This understanding of the semantic space of ‘Facebook feelings’ ultimately serves to inform the development of an automatic ‘Feelings Meter’
    OriginalsprogEngelsk
    TitelProceedings of the Thirty Sixth International Conference on Information Systems. ICIS 2015
    RedaktørerTraci Carte, Armin Heinzl, Cathy Urquhart
    Antal sider20
    UdgivelsesstedAtlanta, GA
    ForlagAssociation for Information Systems. AIS Electronic Library (AISeL)
    Publikationsdato2015
    ISBN (Trykt)9780996683111
    StatusUdgivet - 2015
    BegivenhedThe 36th International Conference on Information Systems. ICIS 2015: Exploring the Information Frontier - Fort Worth Convention Center, Fort Worth, Texas, USA
    Varighed: 13 dec. 201516 dec. 2015
    Konferencens nummer: 36
    http://icis2015.aisnet.org/

    Konference

    KonferenceThe 36th International Conference on Information Systems. ICIS 2015
    Nummer36
    LokationFort Worth Convention Center
    LandUSA
    ByFort Worth, Texas
    Periode13/12/201516/12/2015
    Internetadresse
    NavnProceedings of the International Conference on Information Systems
    Vol/bind36
    ISSN0000-0033

    Emneord

    • Facebook
    • Feelings
    • Sentiment analysis
    • Arousal
    • Social media
    • Marketing

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