Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'

Joanne Parkes; Andrew Smith; Steve Benford; Michael Evans; Lianne Kerlin

doi:10.1109/BigData59044.2023.10386249

Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'

Joanne Parkes, Andrew Smith, Steve Benford, Michael Evans, Lianne Kerlin

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

Binge-watching is of academic interest, not least for the potential links between 'excessive' media consumption and wellbeing. This study analyses binge-watching behaviours relating to 'The Traitors US' using BBC iPlayer viewing data and Twitter discourse. Findings show viewing engagement increased as the finale approached, with some consumers watching over nine hours of content in one day. Twitter sentiment analysis includes themes of excitement, compulsion, and concern for spoilers. As binge-watching proliferates globally, big data analysis of real-world data may offer valuable insights into viewers' motivations and the binge-watching phenomenon.

Original language	English
Title of host publication	Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023
Editors	Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6260-6262
Number of pages	3
ISBN (Electronic)	9798350324457
DOIs	https://doi.org/10.1109/BigData59044.2023.10386249
Publication status	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Big Data, BigData 2023 - Sorrento, Italy Duration: 15 Dec 2023 → 18 Dec 2023

Publication series

Name	Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023

Conference

Conference	2023 IEEE International Conference on Big Data, BigData 2023
Country/Territory	Italy
City	Sorrento
Period	15/12/23 → 18/12/23

Keywords

Binge-watching
Consumer Behaviour
Digital Footprints
Secondary Data Analysis
Sentiment Analysis
Twitter discourse
Viewing Data

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems
Information Systems and Management
Safety, Risk, Reliability and Quality

UN SDGs

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

Access to Document

10.1109/BigData59044.2023.10386249

Cite this

Parkes, J., Smith, A., Benford, S., Evans, M., & Kerlin, L. (2023). Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'. In J. He, T. Palpanas, X. Hu, A. Cuzzocrea, D. Dou, D. Slezak, W. Wang, A. Gruca, J. C.-W. Lin, & R. Agrawal (Eds.), Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023 (pp. 6260-6262). (Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData59044.2023.10386249

Parkes, Joanne ; Smith, Andrew ; Benford, Steve et al. / Compulsive Bingers or Faithful Fans : Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'. Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023. editor / Jingrui He ; Themis Palpanas ; Xiaohua Hu ; Alfredo Cuzzocrea ; Dejing Dou ; Dominik Slezak ; Wei Wang ; Aleksandra Gruca ; Jerry Chun-Wei Lin ; Rakesh Agrawal. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 6260-6262 (Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023).

@inproceedings{59be508834784c2a976ea5fe6030d6e6,

title = "Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'",

abstract = "Binge-watching is of academic interest, not least for the potential links between 'excessive' media consumption and wellbeing. This study analyses binge-watching behaviours relating to 'The Traitors US' using BBC iPlayer viewing data and Twitter discourse. Findings show viewing engagement increased as the finale approached, with some consumers watching over nine hours of content in one day. Twitter sentiment analysis includes themes of excitement, compulsion, and concern for spoilers. As binge-watching proliferates globally, big data analysis of real-world data may offer valuable insights into viewers' motivations and the binge-watching phenomenon.",

keywords = "Binge-watching, Consumer Behaviour, Digital Footprints, Secondary Data Analysis, Sentiment Analysis, Twitter discourse, Viewing Data",

author = "Joanne Parkes and Andrew Smith and Steve Benford and Michael Evans and Lianne Kerlin",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Big Data, BigData 2023 ; Conference date: 15-12-2023 Through 18-12-2023",

year = "2023",

doi = "10.1109/BigData59044.2023.10386249",

language = "English",

series = "Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "6260--6262",

editor = "Jingrui He and Themis Palpanas and Xiaohua Hu and Alfredo Cuzzocrea and Dejing Dou and Dominik Slezak and Wei Wang and Aleksandra Gruca and Lin, \{Jerry Chun-Wei\} and Rakesh Agrawal",

booktitle = "Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023",

address = "United States",

}

Parkes, J, Smith, A, Benford, S, Evans, M & Kerlin, L 2023, Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'. in J He, T Palpanas, X Hu, A Cuzzocrea, D Dou, D Slezak, W Wang, A Gruca, JC-W Lin & R Agrawal (eds), Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023. Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, Institute of Electrical and Electronics Engineers Inc., pp. 6260-6262, 2023 IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, 15/12/23. https://doi.org/10.1109/BigData59044.2023.10386249

Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'. / Parkes, Joanne; Smith, Andrew; Benford, Steve et al.
Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023. ed. / Jingrui He; Themis Palpanas; Xiaohua Hu; Alfredo Cuzzocrea; Dejing Dou; Dominik Slezak; Wei Wang; Aleksandra Gruca; Jerry Chun-Wei Lin; Rakesh Agrawal. Institute of Electrical and Electronics Engineers Inc., 2023. p. 6260-6262 (Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Compulsive Bingers or Faithful Fans

T2 - 2023 IEEE International Conference on Big Data, BigData 2023

AU - Parkes, Joanne

AU - Smith, Andrew

AU - Benford, Steve

AU - Evans, Michael

AU - Kerlin, Lianne

PY - 2023

Y1 - 2023

N2 - Binge-watching is of academic interest, not least for the potential links between 'excessive' media consumption and wellbeing. This study analyses binge-watching behaviours relating to 'The Traitors US' using BBC iPlayer viewing data and Twitter discourse. Findings show viewing engagement increased as the finale approached, with some consumers watching over nine hours of content in one day. Twitter sentiment analysis includes themes of excitement, compulsion, and concern for spoilers. As binge-watching proliferates globally, big data analysis of real-world data may offer valuable insights into viewers' motivations and the binge-watching phenomenon.

AB - Binge-watching is of academic interest, not least for the potential links between 'excessive' media consumption and wellbeing. This study analyses binge-watching behaviours relating to 'The Traitors US' using BBC iPlayer viewing data and Twitter discourse. Findings show viewing engagement increased as the finale approached, with some consumers watching over nine hours of content in one day. Twitter sentiment analysis includes themes of excitement, compulsion, and concern for spoilers. As binge-watching proliferates globally, big data analysis of real-world data may offer valuable insights into viewers' motivations and the binge-watching phenomenon.

KW - Binge-watching

KW - Consumer Behaviour

KW - Digital Footprints

KW - Secondary Data Analysis

KW - Sentiment Analysis

KW - Twitter discourse

KW - Viewing Data

UR - https://www.scopus.com/pages/publications/85184979093

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DO - 10.1109/BigData59044.2023.10386249

M3 - Conference contribution

AN - SCOPUS:85184979093

T3 - Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023

SP - 6260

EP - 6262

BT - Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023

A2 - He, Jingrui

A2 - Palpanas, Themis

A2 - Hu, Xiaohua

A2 - Cuzzocrea, Alfredo

A2 - Dou, Dejing

A2 - Slezak, Dominik

A2 - Wang, Wei

A2 - Gruca, Aleksandra

A2 - Lin, Jerry Chun-Wei

A2 - Agrawal, Rakesh

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 15 December 2023 through 18 December 2023

ER -

Parkes J, Smith A, Benford S, Evans M, Kerlin L. Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'. In He J, Palpanas T, Hu X, Cuzzocrea A, Dou D, Slezak D, Wang W, Gruca A, Lin JCW, Agrawal R, editors, Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 6260-6262. (Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023). doi: 10.1109/BigData59044.2023.10386249

Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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