Abstract
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 language | English |
|---|---|
| Title of host publication | Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016 |
| Editors | 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 |
| Number of pages | 10 |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Publication date | 1 Jan 2016 |
| Pages | 3849-3858 |
| Article number | 7841058 |
| ISBN (Print) | 9781467390057 |
| ISBN (Electronic) | 9781467390040 |
| Publication status | Published - 1 Jan 2016 |
| Event | Fourth IEEE International Conference on Big Data. IEEE BigData 2016 - Washington, DC, United States Duration: 5 Dec 2016 → 8 Dec 2016 Conference number: 4 http://cci.drexel.edu/bigdata/bigdata2016/ |
Conference
| Conference | Fourth IEEE International Conference on Big Data. IEEE BigData 2016 |
|---|---|
| Number | 4 |
| Country/Territory | United States |
| City | Washington, DC |
| Period | 05/12/2016 → 08/12/2016 |
| Internet address |
Keywords
- Television viewer behaviour
- Skavlan talk show
- Big social data
- Big data analytics
- Text classification
- Social set analysis