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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    Resumé

    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.
    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
    Udgivelses stedPiscataway, NJ
    ForlagIEEE
    Publikationsdato2016
    Sider3839-3848
    Artikelnummer7841057
    ISBN (Trykt)9781467390057
    ISBN (Elektronisk)9781467390040
    StatusUdgivet - 2016
    Begivenhed2016 IEEE International Conference on Big Data - Washington, DC, USA
    Varighed: 5 dec. 20168 dec. 2016
    http://cci.drexel.edu/bigdata/bigdata2016/

    Konference

    Konference2016 IEEE International Conference on Big Data
    LandUSA
    ByWashington, DC
    Periode05/12/201608/12/2016
    Internetadresse

    Emneord

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

    Citer dette

    Hennig, A., Åmodt, A-S., Hernes, H., Nygårdsmoen, H. M., Arenfeldt Larsen, P., Mukkamala, R. R., ... Vatrapu, R. (2016). Big Social Data Analytics of Changes in Consumer Behaviour and Opinion of a TV Broadcaster. I R. Ak, G. Karypis, Y. Xia, X. T. Hu, P. S. Yu, J. Joshi, L. Ungar, L. Liu, A-H. Sato, T. Suzumura, S. Rachuri, R. Govindaraju, ... W. Xu (red.), Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016 (s. 3839-3848). [7841057] Piscataway, NJ: IEEE.
    Hennig, Anna ; Åmodt, Anne-Sofie ; Hernes, Henrik ; Nygårdsmoen, Helene Mejer ; Arenfeldt Larsen, Peter ; Mukkamala, Raghava Rao ; Flesch, Benjamin ; Hussain, Abid ; Vatrapu, Ravi. / Big Social Data Analytics of Changes in Consumer Behaviour and Opinion of a TV Broadcaster. Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. red. / Ronay 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. Piscataway, NJ : IEEE, 2016. s. 3839-3848
    @inproceedings{cd26e52d9b414a9b86ef200f504f616b,
    title = "Big Social Data Analytics of Changes in Consumer Behaviour and Opinion of a TV Broadcaster",
    abstract = "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.",
    keywords = "Television viewer behaviour, Big social data, Facebook, Big data analytics, Social set analysis, Social set visualiser, Text classification, Television viewer behaviour, Big social data, Facebook, Big data analytics, Social set analysis, Social set visualiser, Text classification",
    author = "Anna Hennig and Anne-Sofie {\AA}modt and Henrik Hernes and Nyg{\aa}rdsmoen, {Helene Mejer} and {Arenfeldt Larsen}, Peter and Mukkamala, {Raghava Rao} and Benjamin Flesch and Abid Hussain and Ravi Vatrapu",
    year = "2016",
    language = "English",
    isbn = "9781467390057",
    pages = "3839--3848",
    editor = "Ronay Ak and George Karypis and Yinglong Xia and Hu, {Xiaohua Tony} and Yu, {Philip S.} and James Joshi and Lyle Ungar and Ling Liu and Aki-Hiro Sato and Toyotaro Suzumura and Sudarsan Rachuri and Rama Govindaraju and Weijia Xu",
    booktitle = "Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016",
    publisher = "IEEE",
    address = "United States",

    }

    Hennig, A, Åmodt, A-S, Hernes, H, Nygårdsmoen, HM, Arenfeldt Larsen, P, Mukkamala, RR, Flesch, B, Hussain, A & Vatrapu, R 2016, Big Social Data Analytics of Changes in Consumer Behaviour and Opinion of a TV Broadcaster. i R Ak, G Karypis, Y Xia, XT Hu, PS Yu, J Joshi, L Ungar, L Liu, A-H Sato, T Suzumura, S Rachuri, R Govindaraju & W Xu (red), Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016., 7841057, IEEE, Piscataway, NJ, s. 3839-3848, 2016 IEEE International Conference on Big Data, Washington, DC, USA, 05/12/2016.

    Big Social Data Analytics of Changes in Consumer Behaviour and Opinion of a TV Broadcaster. / Hennig, Anna; Åmodt, Anne-Sofie; Hernes, Henrik; Nygårdsmoen, Helene Mejer; Arenfeldt Larsen, Peter; Mukkamala, Raghava Rao; Flesch, Benjamin; Hussain, Abid; Vatrapu, Ravi.

    Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. red. / Ronay 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. Piscataway, NJ : IEEE, 2016. s. 3839-3848 7841057.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

    TY - GEN

    T1 - Big Social Data Analytics of Changes in Consumer Behaviour and Opinion of a TV Broadcaster

    AU - Hennig, Anna

    AU - Åmodt, Anne-Sofie

    AU - Hernes, Henrik

    AU - Nygårdsmoen, Helene Mejer

    AU - Arenfeldt Larsen, Peter

    AU - Mukkamala, Raghava Rao

    AU - Flesch, Benjamin

    AU - Hussain, Abid

    AU - Vatrapu, Ravi

    PY - 2016

    Y1 - 2016

    N2 - 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.

    AB - 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.

    KW - Television viewer behaviour

    KW - Big social data

    KW - Facebook

    KW - Big data analytics

    KW - Social set analysis

    KW - Social set visualiser

    KW - Text classification

    KW - Television viewer behaviour

    KW - Big social data

    KW - Facebook

    KW - Big data analytics

    KW - Social set analysis

    KW - Social set visualiser

    KW - Text classification

    M3 - Article in proceedings

    SN - 9781467390057

    SP - 3839

    EP - 3848

    BT - Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016

    A2 - Ak, Ronay

    A2 - Karypis, George

    A2 - Xia, Yinglong

    A2 - Hu, Xiaohua Tony

    A2 - Yu, Philip S.

    A2 - Joshi, James

    A2 - Ungar, Lyle

    A2 - Liu, Ling

    A2 - Sato, Aki-Hiro

    A2 - Suzumura, Toyotaro

    A2 - Rachuri, Sudarsan

    A2 - Govindaraju, Rama

    A2 - Xu, Weijia

    PB - IEEE

    CY - Piscataway, NJ

    ER -

    Hennig A, Åmodt A-S, Hernes H, Nygårdsmoen HM, Arenfeldt Larsen P, Mukkamala RR et al. Big Social Data Analytics of Changes in Consumer Behaviour and Opinion of a TV Broadcaster. I Ak R, Karypis G, Xia Y, Hu XT, Yu PS, Joshi J, Ungar L, Liu L, Sato A-H, Suzumura T, Rachuri S, Govindaraju R, Xu W, red., Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. Piscataway, NJ: IEEE. 2016. s. 3839-3848. 7841057