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

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

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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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.

Originalsprog	Engelsk
Titel	Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016
Redaktører	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
Antal sider	10
Udgivelsessted	Piscataway, NJ
Forlag	IEEE
Publikationsdato	1 jan. 2016
Sider	3849-3858
Artikelnummer	7841058
ISBN (Trykt)	9781467390057
ISBN (Elektronisk)	9781467390040
Status	Udgivet - 1 jan. 2016
Begivenhed	Fourth IEEE International Conference on Big Data. IEEE BigData 2016 - Washington, DC, USA Varighed: 5 dec. 2016 → 8 dec. 2016 Konferencens nummer: 4 http://cci.drexel.edu/bigdata/bigdata2016/

Konference

Konference	Fourth IEEE International Conference on Big Data. IEEE BigData 2016
Nummer	4
Land/Område	USA
By	Washington, DC
Periode	05/12/2016 → 08/12/2016
Internetadresse	http://cci.drexel.edu/bigdata/bigdata2016/

Emneord

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

Adgang til dokumentet

Larsen_Forsberg_Hemstad_Mukkamala_Hussain_VatrapuForlagets udgivne version, 509 KBLicens: CC BY-NC-ND

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Citationsformater

Larsen, H. H., Forsberg, J. M., Hemstad, S. V., Mukkamala, R. R., Hussain, A., & Vatrapu, R. (2016). TV Ratings vs. Social Media Engagement: Big Social Data Analytics of the Scandinavian TV Talk Show Skavlan. 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. 3849-3858). Artikel 7841058 IEEE.

Larsen, Henrikke Hovda ; Forsberg, Johanna Margareta ; Hemstad, Sigrid Viken et al. / TV Ratings vs. Social Media Engagement : Big Social Data Analytics of the Scandinavian TV Talk Show Skavlan. 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. 3849-3858

@inproceedings{06fb6055f67d4e6895e3ffa301f86fbd,

title = "TV Ratings vs. Social Media Engagement: Big Social Data Analytics of the Scandinavian TV Talk Show Skavlan",

abstract = "This paper explores the relationship between TV viewership ratings for Scandinavian{\textquoteright}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{\textquoteright} real-world and digital world behaviour.",

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

author = "Larsen, {Henrikke Hovda} and Forsberg, {Johanna Margareta} and Hemstad, {Sigrid Viken} and Mukkamala, {Raghava Rao} and Abid Hussain and Ravi Vatrapu",

year = "2016",

month = jan,

day = "1",

language = "English",

isbn = "9781467390057",

pages = "3849--3858",

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",

note = "Fourth IEEE International Conference on Big Data. IEEE BigData 2016 ; Conference date: 05-12-2016 Through 08-12-2016",

url = "http://cci.drexel.edu/bigdata/bigdata2016/",

}

Larsen, HH, Forsberg, JM, Hemstad, SV, Mukkamala, RR , Hussain, A & Vatrapu, R 2016, TV Ratings vs. Social Media Engagement: Big Social Data Analytics of the Scandinavian TV Talk Show Skavlan. 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., 7841058, IEEE, Piscataway, NJ, s. 3849-3858, Fourth IEEE International Conference on Big Data. IEEE BigData 2016, Washington, DC, USA, 05/12/2016.

TV Ratings vs. Social Media Engagement: Big Social Data Analytics of the Scandinavian TV Talk Show Skavlan. / Larsen, Henrikke Hovda; Forsberg, Johanna Margareta; Hemstad, Sigrid Viken et al.
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. 3849-3858 7841058.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - TV Ratings vs. Social Media Engagement

T2 - Fourth IEEE International Conference on Big Data. IEEE BigData 2016

AU - Larsen, Henrikke Hovda

AU - Forsberg, Johanna Margareta

AU - Hemstad, Sigrid Viken

AU - Mukkamala, Raghava Rao

AU - Hussain, Abid

AU - Vatrapu, Ravi

N1 - Conference code: 4

PY - 2016/1/1

Y1 - 2016/1/1

N2 - 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.

AB - 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.

KW - Television viewer behaviour

KW - Skavlan talk show

KW - Big social data

KW - Facebook

KW - Big data analytics

KW - Text classification

KW - Social set analysis

KW - Television viewer behaviour

KW - Skavlan talk show

KW - Big social data

KW - Facebook

KW - Big data analytics

KW - Text classification

KW - Social set analysis

M3 - Article in proceedings

SN - 9781467390057

SP - 3849

EP - 3858

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

Y2 - 5 December 2016 through 8 December 2016

ER -

Larsen HH, Forsberg JM, Hemstad SV, Mukkamala RR , Hussain A , Vatrapu R. TV Ratings vs. Social Media Engagement: Big Social Data Analytics of the Scandinavian TV Talk Show Skavlan. I Ak R, Karypis G, Xia Y, Hu XT, Yu PS, Joshi J, Ungar L, Liu L, Sato AH, 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. 3849-3858. 7841058