Understanding the Phenomenon of Binge-Watching—A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy
2.2. Inclusion Criteria
- (1)
- The articles were published between 2013 and March 2020. As already mentioned in the introduction, the binge-watching phenomenon dates back to 2013, and it has been growing in popularity ever since, ultimately to become one of the most common ways of free-time spending. However, it should be mentioned that other forms of this phenomenon could be studied even before 2013 under the research on television addiction.
- (2)
- The articles concerned binge-watching and its psychological conditions (for example motivation, engagement, personality traits, and relations with mental health disorders).
- (3)
- The articles were published in English.
- (4)
- The relevant studies were of empirical and quantitative nature.
2.3. Search and Screening
3. Results
3.1. Characteristics of the Studies on the Binge-Watching Phenomenon Included in the Systematic Review
3.2. Methodological Evaluation of the Research Covered by the Systematic Review
3.3. Definition of Binge-Watching
3.4. Motivation
3.5. Personality Traits
3.6. Binge-Watcher Profiles
3.7. Risks Related to Excessive Binge-Watching
4. Discussion
5. Limitation of the Research
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Study | Country of Research | Research Group (% of Women) | Variable Measured | Method |
---|---|---|---|---|
Conlin (2015) [4] | USA | 379 (57%) | Demographics | Online survey |
Transportability | ||||
Fantasy Empathy | ||||
BW method | ||||
Motivation | ||||
Narrative Engagement | ||||
Character identification | ||||
Transportation | ||||
Wheeler (2015) [16] | USA | 186 (58%) | Motivation | Survey |
Affinity | ||||
Viewing habits | ||||
Attachment | ||||
Loneliness | ||||
Depression | ||||
Psychological well-being | ||||
Riddle et al. (2018) [17] | USA | 171 (75%) | Demographics | Online survey |
BW behaviour | ||||
Impulsivity | ||||
Flayelle et al. (2019A) [19] | Belgium | 6556 (78%) | Demographics | Online survey |
BW motivation | ||||
BW engagement | ||||
Positive and negative affect | ||||
Compulsive internet | ||||
Alcohol use | ||||
Nicotine dependence | ||||
Problematic BW symptoms | ||||
Starosta, Izydorczyk, Liziński (2019) [20] | Poland | 1004 (85%) | Motivation | Online survey |
BW behaviour | ||||
Emotional reactions | ||||
Lies | ||||
Loss of control and neglect of duties | ||||
Preoccupation | ||||
Negative health consequences | ||||
Negative social consequences | ||||
Demographics | ||||
Walton-Pattison, Dombrowski, Presseau (2018) [22] | UK | 86 (67%) | Self-efficacy | Online survey |
Goal conflict and facilitation | ||||
Anticipated regret | ||||
Expectation | ||||
BW behaviour | ||||
Oberschmidt (2017) [24] | Netherlands | 329 (72%) | General compulsory health beliefs | Online survey |
Sleep | ||||
BW behaviour | ||||
Exelmans, Van den Bulck (2017) [25] | Belgium | 463 (62%) | Sleep quality | Online survey |
Insomnia | ||||
Fatigue | ||||
Pre-sleep arousal | ||||
Binge-viewing | ||||
Govaert (2014) [28] | Netherlands | 197 (66%) | Demographics | Online survey |
BW behaviour | ||||
Impulsiveness | ||||
Personality traits | ||||
Coping mechanism | ||||
Pittman, Sheehan (2015) [29] | USA | 262 (62%) | Motivation | Online survey |
BW behaviour | ||||
Demographics | ||||
Flayelle et al. (2019C) [30] | Belgium | 4039 (80%) | Motivation | Online survey |
Impulsivity | ||||
Emotional reactivity | ||||
Sociodemographics | ||||
TV series watching patterns | ||||
BW engagement | ||||
Symptoms of problematic BW | ||||
Affect | ||||
Problematic internet use | ||||
Alcohol-related problems | ||||
Panda, Pandey (2017) [31] | USA | 229 (56%) | Demographics | Online survey |
Motivation | ||||
Gratification | ||||
Intention to spend more time BW | ||||
Spruance et al. (2017) [32] | USA | 500 (58%) | Demographics | Online survey |
BW behaviour | ||||
Diet | ||||
BMI | ||||
Physical activity | ||||
Boudali, Bourgou, Jouini, Belhadj (2017) [33] | Tunis | 50 (NI) | BW behaviour | Survey |
Depression | ||||
Anxiety | ||||
Shim, Kim (2018) [34] | South Korea | 785 (53%) | Demographics | Online survey |
Need for cognition | ||||
Sensation seeking | ||||
BW behaviour | ||||
Motivations for BW | ||||
Walter, Murphy, Rosenthal (2018) [35] | USA | 865 (90%) | Demographics | Online survey |
Narrative persuasion—attitude toward alcohol | ||||
Identification with characters | ||||
Method of BW | ||||
Merill, Rubenking (2019) [36] | USA | 651 (64%) | Demographics | Online survey |
BW frequency | ||||
BW duration | ||||
Self-regulation | ||||
Self-control | ||||
Enjoyment | ||||
Reward watching | ||||
Procrastination | ||||
Regret | ||||
Tóth-Király et al. (2017) [37] | Hungary | Study 1—740 (72%) Study 2—944 (50%) Study 3—1520 (72%) | Demographics | Online survey |
Series watching engagement | ||||
Problematic BW | ||||
Series watching passion | ||||
Granow, Reinecke, Ziegele (2018) [38] | Germany | 499 (67%) | Demographics | Online survey |
BW behaviour | ||||
Goal conflict | ||||
Guilt | ||||
Autonomy | ||||
Recovery experience | ||||
Vitality | ||||
Entertainment experience | ||||
Castro, Rigby, Cabral, Nisi (2019) [39] | Portugal | 13 (38%) | Demographics | Online survey |
BW behaviour | ||||
Motivation | ||||
Affect states | ||||
Sung, Kang, Lee (2018) [40] | USA | 292 (76%) | Demographics | Online survey |
BW behaviour | ||||
Motivation | ||||
Chamblis et al. (2017) [41] | USA | 62 (69%) | Demographics | Survey |
Social distraction | ||||
Academic distraction | ||||
Pittman, Steiner (2019) [42] | USA | 800 (44%) | Demographics | Online survey |
BW behaviour | ||||
Motivations and outcome for a specific type of viewing behaviour | ||||
Personality | ||||
Multitasking | ||||
Regret | ||||
Rubenking, Bracken (2018) [43] | USA | 797 (56%) | Demographics | Online survey |
BW behaviour | ||||
Emotional regulation | ||||
Viewing frequency | ||||
Motivation | ||||
Self-efficacy | ||||
Self-control | ||||
Conlin, Billings, Averset (2016) [44] | USA | 160 (49%) | Demographic | Survey |
Viewing behaviour | ||||
FOMO | ||||
Tefertiller, Maxwell (2018) [45] | USA | 215 (46%) | Demographics | Survey |
BW behaviour | ||||
Depression | ||||
Anxiety | ||||
Loneliness | ||||
Self-control | ||||
Emotion/affect | ||||
Hedonic enjoyment | ||||
Ahmed (2017) [46] | United Arab Emirates | 260 (72%) | Demographics | Survey |
BW behaviour | ||||
Depression | ||||
Loneliness | ||||
Schweidel, Moe (2016) [47] | USA | 9873 (NI) | Viewing behaviour | Online survey |
Advertising exposures | ||||
Erickson, Dal Cin, Byl (2018) [48] | USA | 77 (76%) | Demographics | Experiment |
BW behaviour | ||||
Narrative transportation | ||||
Parasocial relationship |
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Share and Cite
Starosta, J.A.; Izydorczyk, B. Understanding the Phenomenon of Binge-Watching—A Systematic Review. Int. J. Environ. Res. Public Health 2020, 17, 4469. https://doi.org/10.3390/ijerph17124469
Starosta JA, Izydorczyk B. Understanding the Phenomenon of Binge-Watching—A Systematic Review. International Journal of Environmental Research and Public Health. 2020; 17(12):4469. https://doi.org/10.3390/ijerph17124469
Chicago/Turabian StyleStarosta, Jolanta A., and Bernadetta Izydorczyk. 2020. "Understanding the Phenomenon of Binge-Watching—A Systematic Review" International Journal of Environmental Research and Public Health 17, no. 12: 4469. https://doi.org/10.3390/ijerph17124469