Big Social Data Analytics of Changes in Consumer Behaviour and Opinion of a TV Broadcaster

Anna Hennig, Anne-Sofie Åmodt, Henrik Hernes, Helene Mejer Nygårdsmoen, Peter Arenfeldt Larsen, Raghava Rao Mukkamala, Benjamin Flesch, Abid Hussain, Ravi Vatrapu

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    This paper examines the changes in consumer behaviour and opinions due to the transition from a public to a commercial broadcaster in the context of broadcasting international media events. By analyzing TV viewer ratings, Facebook activity and its sentiment, we aim to provide answers to how the transition from airing Winter Olympic Games on NRK to TV2 in Norway affected consumer behaviour and opinion.We used text classification and visual analytics methods on the business and social datasets. Our main finding is a clear link between negative sentiment and commercials. Despite positive change in customer behaviour, there was a negative change in customer opinion. Based on media events and broadcaster theories, we identify generalisable findings for all such transitions.
    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
    ISBN (Trykt)9781467390057
    ISBN (Elektronisk)9781467390040
    StatusUdgivet - 2016
    BegivenhedFourth IEEE International Conference on Big Data. IEEE BigData 2016 - Washington, DC, USA
    Varighed: 5 dec. 20168 dec. 2016
    Konferencens nummer: 4


    KonferenceFourth IEEE International Conference on Big Data. IEEE BigData 2016
    ByWashington, DC


    • Television viewer behaviour
    • Big social data
    • Facebook
    • Big data analytics
    • Social set analysis
    • Social set visualiser
    • Text classification