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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    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.
    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.
    LanguageEnglish
    Title of host publicationProceedings of the 2016 IEEE International Conference on Big Data (BigData '16)
    EditorsJames Joshi, George Karypis, Ling Liu
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Date2016
    Pages3839-3848
    ISBN (Print)9781467390057
    StatePublished - 2016
    Event2016 IEEE International Conference on Big Data - Washington, DC, United States
    Duration: 5 Dec 20168 Dec 2016
    http://cci.drexel.edu/bigdata/bigdata2016/

    Conference

    Conference2016 IEEE International Conference on Big Data
    CountryUnited States
    CityWashington, DC
    Period05/12/201608/12/2016
    Internet address

    Keywords

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

    Cite this

    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. In J. Joshi, G. Karypis, & L. Liu (Eds.), Proceedings of the 2016 IEEE International Conference on Big Data (BigData '16) (pp. 3839-3848). 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 of the 2016 IEEE International Conference on Big Data (BigData '16). editor / James Joshi ; George Karypis ; Ling Liu. Piscataway, NJ : IEEE, 2016. pp. 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 = "James Joshi and George Karypis and Ling Liu",
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    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. in J Joshi, G Karypis & L Liu (eds), Proceedings of the 2016 IEEE International Conference on Big Data (BigData '16). IEEE, Piscataway, NJ, pp. 3839-3848, Washington, DC, United States, 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 of the 2016 IEEE International Conference on Big Data (BigData '16). ed. / James Joshi; George Karypis; Ling Liu. Piscataway, NJ : IEEE, 2016. p. 3839-3848.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    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

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    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.

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    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

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    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. In Joshi J, Karypis G, Liu L, editors, Proceedings of the 2016 IEEE International Conference on Big Data (BigData '16). Piscataway, NJ: IEEE. 2016. p. 3839-3848.