Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis

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    Abstrakt

    Social media crises pose significant challenges for organizations in terms of their rapid rate of spread and potential persistent negative associations in terms of brand parameters and sustained negative advocacy by internet users and/or consumers. This paper reports on a technique for detecting social media crises using social set analysis-an approach to computational social based on associational sociology and set theory. Based on a conceptual and formal model of social data, we conduct social set analysis of the facebook wall data of four diferent Danish companies. Findings show the voluminous but also transient nature of social media crises and aggregate user behavioural patterns. We discuss the implications of our findings and the application of the crisis detetction technique for analyzing other epiosodic activities such as product promotions, election campaigns.
    OriginalsprogEngelsk
    TitelProceedings of the 2015 IEEE International Congress on BigData
    RedaktørerCarminati Barbara, Latifur Khan
    Antal sider4
    UdgivelsesstedLos Alamitos, CA
    ForlagIEEE
    Publikationsdato2015
    Sider745-748
    Artikelnummer7207307
    ISBN (Trykt)9781467372787
    ISBN (Elektronisk)9781467372787
    DOI
    StatusUdgivet - 2015
    Begivenhed4th IEEE International Congress on Big Data: BigData Congress 2015 - New York, USA
    Varighed: 27 jun. 20152 jul. 2015
    Konferencens nummer: 4
    http://www.ieeebigdata.org/2015/

    Konference

    Konference4th IEEE International Congress on Big Data
    Nummer4
    LandUSA
    ByNew York
    Periode27/06/201502/07/2015
    Internetadresse

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