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

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 proceeding › Article in proceedings › Research › peer-review

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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.

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	2016
Pages	3839-3848
Article number	7841057
ISBN (Print)	9781467390057
ISBN (Electronic)	9781467390040
Publication status	Published - 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	http://cci.drexel.edu/bigdata/bigdata2016/

Keywords

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

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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2016-IEEE_BigData-TextAnalytics-WinterOlympics-NRK_TV2Final published version, 2.03 MBLicence: CC BY-NC-ND

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Hennig, A., Åmodt, A.-S., Hernes, H., Nygårdsmoen, H. M., Arenfeldt Larsen, P., Mukkamala, R. R., Flesch, B., Hussain, A., & Vatrapu, R. (2016). Big Social Data Analytics of Changes in Consumer Behaviour and Opinion of a TV Broadcaster. In 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 (Eds.), Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016 (pp. 3839-3848). Article 7841057 IEEE.

Hennig, Anna ; Åmodt, Anne-Sofie ; Hernes, Henrik et al. / Big Social Data Analytics of Changes in Consumer Behaviour and Opinion of a TV Broadcaster. Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. editor / 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. 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 = "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/",

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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 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 (eds), Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016., 7841057, IEEE, Piscataway, NJ, pp. 3839-3848, Fourth IEEE International Conference on Big Data. IEEE BigData 2016, 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 et al.
Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. ed. / 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. p. 3839-3848 7841057.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Big Social Data Analytics of Changes in Consumer Behaviour and Opinion of a TV Broadcaster

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

N1 - Conference code: 4

PY - 2016

Y1 - 2016

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.

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

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

SN - 9781467390057

SP - 3839

EP - 3848

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

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

Y2 - 5 December 2016 through 8 December 2016

ER -

Hennig A, Åmodt AS, 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 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, editors, Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. Piscataway, NJ: IEEE. 2016. p. 3839-3848. 7841057