How does on-demand streaming technology promote binge-watching? An exploration and classification of streaming platform design features.

Binge-watching (i.e., watching multiple TV series episodes in one session) has rapidly become the new viewing standard now that on-demand viewing technology allows 24-hr access to almost unlimited content. There is increasing recognition, however, that dysregulated binge-watching can be harmful to viewers. No formal or specific investigation of the design features of streaming platforms has been performed despite this being critical to an understanding of the potential emergence and maintenance of problematic forms of binge-watching. To address this gap, we conducted an in-depth examination of seven popular streaming platforms (i.e., Netflix, Amazon Prime Video, Disney+, Apple TV+, Acorn TV, Crunchyroll, Peacock) by applying a descriptive and systematic auditing method to identify relevant technology design features that can promote binge-watching. From the results, we generated a list of 29 features that were then classified under the four phases of the hook model framework (i.e., trigger, action, variable reward, investment). From this conceptual background and the psychological concepts of the uses and effects of media, we discuss the implications of each category of design features in affecting viewers’ ability to exert control over the on-demand streaming of TV series. These results could inform potential interventions and strategies to mitigate problematic binge-watching behaviors.

Authors

Publication Details

Journal
Psychology of Popular Media
Published
2025-02-03
DOI
https://doi.org/10.1037/ppm0000579
Citations
5
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
21.01
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article

How does on-demand streaming technology promote binge-watching? An exploration and classification of streaming platform design features.

Maèva Flayelle, Sally Gainsbury, Joël Billieux, Vera Sigre‐Leirós et al.
5 citations
Psychology of Popular Media
Digital Marketing and Social Media
21.01
article

How does on-demand streaming technology promote binge-watching? An exploration and classification of streaming platform design features.

Maèva Flayelle, Sally Gainsbury, Joël Billieux, Vera Sigre‐Leirós, Ludovic Ferrecchia
article en
5 citations

Abstract

Binge-watching (i.e., watching multiple TV series episodes in one session) has rapidly become the new viewing standard now that on-demand viewing technology allows 24-hr access to almost unlimited content. There is increasing recognition, however, that dysregulated binge-watching can be harmful to viewers. No formal or specific investigation of the design features of streaming platforms has been performed despite this being critical to an understanding of the potential emergence and maintenance of problematic forms of binge-watching. To address this gap, we conducted an in-depth examination of seven popular streaming platforms (i.e., Netflix, Amazon Prime Video, Disney+, Apple TV+, Acorn TV, Crunchyroll, Peacock) by applying a descriptive and systematic auditing method to identify relevant technology design features that can promote binge-watching. From the results, we generated a list of 29 features that were then classified under the four phases of the hook model framework (i.e., trigger, action, variable reward, investment). From this conceptual background and the psychological concepts of the uses and effects of media, we discuss the implications of each category of design features in affecting viewers’ ability to exert control over the on-demand streaming of TV series. These results could inform potential interventions and strategies to mitigate problematic binge-watching behaviors.

Psychology of Popular MediaVol. 15(1)
Openalex Percentile: Top 1%
Digital Marketing and Social Media
21.01
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How does on-demand streaming technology promote binge-watching? An exploration and classification of streaming platform design features. — Maèva Flayelle, Sally Gainsbury, et al. · Psychology of Popular Media (2025) | TGRS Research Map | TGRS