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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    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.
    Original languageEnglish
    Title of host publicationProceedings - 2016 IEEE International Conference on Big Data, Big Data 2016
    EditorsRonay 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
    Number of pages10
    Place of PublicationPiscataway, NJ
    Publication date1 Jan 2016
    Article number7841058
    ISBN (Print)9781467390057
    ISBN (Electronic)9781467390040
    Publication statusPublished - 1 Jan 2016
    EventFourth IEEE International Conference on Big Data. IEEE BigData 2016 - Washington, DC, United States
    Duration: 5 Dec 20168 Dec 2016
    Conference number: 4


    ConferenceFourth IEEE International Conference on Big Data. IEEE BigData 2016
    Country/TerritoryUnited States
    CityWashington, DC
    Internet address


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

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