TV Ratings vs. Social Media Engagement: Big Social Data Analytics of the Scandinavian TV Talk Show Skavlan

Henrikke Hovda Larsen, Johanna Margareta Forsberg, Sigrid Viken Hemstad, Raghava Rao Mukkamala, Abid Hussain, Ravi Vatrapu

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    Abstrakt

    This paper explores the relationship between TV viewership ratings for Scandinavian’s most popular talk show, Skavlan and public opinions expressed on its Facebook page. The research aim is to examine whether the activity on social media affects the number of viewers per episode of Skavlan, how the viewers are affected by discussions on the Talk Show, and whether this creates debate on social media afterwards. By analyzing TV viewer ratings of Skavlan talk show, Facebook activity and text classification of Facebook posts and comments with respect to type of emotions and brand sentiment, this paper identifes patterns in the users’ real-world and digital world behaviour.
    OriginalsprogEngelsk
    TitelProceedings - 2016 IEEE International Conference on Big Data, Big Data 2016
    RedaktørerRonay Ak, George Karypis, Yinglong Xia, Xiaohua Tony Hu, Philip S. Yu, James Joshi, Lyle Ungar, Ling Liu, Aki-Hiro Sato, Toyotaro Suzumura, Sudarsan Rachuri, Rama Govindaraju, Weijia Xu
    Antal sider10
    UdgivelsesstedPiscataway, NJ
    ForlagIEEE
    Publikationsdato1 jan. 2016
    Sider3849-3858
    Artikelnummer7841058
    ISBN (Trykt)9781467390057
    ISBN (Elektronisk)9781467390040
    StatusUdgivet - 1 jan. 2016
    BegivenhedFourth IEEE International Conference on Big Data. IEEE BigData 2016 - Washington, DC, USA
    Varighed: 5 dec. 20168 dec. 2016
    Konferencens nummer: 4
    http://cci.drexel.edu/bigdata/bigdata2016/

    Konference

    KonferenceFourth IEEE International Conference on Big Data. IEEE BigData 2016
    Nummer4
    LandUSA
    ByWashington, DC
    Periode05/12/201608/12/2016
    Internetadresse

    Emneord

    • Television viewer behaviour
    • Skavlan talk show
    • Big social data
    • Facebook
    • Big data analytics
    • Text classification
    • Social set analysis

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