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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.

Publication information

Original 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
Publication date2016
Pages3849-3858
ISBN (print)9781467390057
StatePublished - 2016
Event - Washington, DC, United States

Conference

Conference2016 IEEE International Conference on Big Data
LandUnited States
ByWashington, DC
Periode05/12/201608/12/2016
Internetadresse

    Keywords

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

ID: 45692331