Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis

    Publikation: Kapitel i bog/rapport/konferenceprocesKonferencebidrag i proceedingsForskningpeer review

    Resumé

    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.
    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.
    SprogEngelsk
    TitelProceedings of the 2015 IEEE International Congress on BigData
    RedaktørerCarminati Barbara, Latifur Khan
    Udgivelses stedLos Alamitos, CA
    ForlagIEEE
    Dato2015
    Sider745-748
    ISBN (Trykt)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

    Bibliografisk note

    CBS Bibliotek har ikke adgang til materialet

    Citer dette

    Mukkamala, R. R., Iskou Sørensen, J., Hussain, A., & Vatrapu, R. (2015). Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis. I C. Barbara, & L. Khan (red.), Proceedings of the 2015 IEEE International Congress on BigData (s. 745-748). Los Alamitos, CA: IEEE. DOI: 10.1109/BigDataCongress.2015.123
    Mukkamala, Raghava Rao ; Iskou Sørensen, Jannie ; Hussain, Abid ; Vatrapu, Ravi. / Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis. Proceedings of the 2015 IEEE International Congress on BigData. red. / Carminati Barbara ; Latifur Khan. Los Alamitos, CA : IEEE, 2015. s. 745-748
    @inproceedings{501aa38309c84dfba90bb71ced7fcc67,
    title = "Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis",
    abstract = "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.",
    author = "Mukkamala, {Raghava Rao} and {Iskou S{\o}rensen}, Jannie and Abid Hussain and Ravi Vatrapu",
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    Mukkamala, RR, Iskou Sørensen, J, Hussain, A & Vatrapu, R 2015, Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis. i C Barbara & L Khan (red), Proceedings of the 2015 IEEE International Congress on BigData. IEEE, Los Alamitos, CA, s. 745-748, 4th IEEE International Congress on Big Data, New York, USA, 27/06/2015. DOI: 10.1109/BigDataCongress.2015.123

    Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis. / Mukkamala, Raghava Rao; Iskou Sørensen, Jannie; Hussain, Abid; Vatrapu, Ravi.

    Proceedings of the 2015 IEEE International Congress on BigData. red. / Carminati Barbara; Latifur Khan. Los Alamitos, CA : IEEE, 2015. s. 745-748.

    Publikation: Kapitel i bog/rapport/konferenceprocesKonferencebidrag i proceedingsForskningpeer review

    TY - GEN

    T1 - Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis

    AU - Mukkamala,Raghava Rao

    AU - Iskou Sørensen,Jannie

    AU - Hussain,Abid

    AU - Vatrapu,Ravi

    N1 - CBS Library does not have access to the material

    PY - 2015

    Y1 - 2015

    N2 - 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.

    AB - 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.

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    M3 - Article in proceedings

    SN - 9781467372787

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    BT - Proceedings of the 2015 IEEE International Congress on BigData

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    ER -

    Mukkamala RR, Iskou Sørensen J, Hussain A, Vatrapu R. Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis. I Barbara C, Khan L, red., Proceedings of the 2015 IEEE International Congress on BigData. Los Alamitos, CA: IEEE. 2015. s. 745-748. Tilgængelig fra, DOI: 10.1109/BigDataCongress.2015.123