Unveiling the dynamics of binge-scrolling: A comprehensive analysis of short-form video consumption using a Stimulus-Organism-Response model
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Binge-scrolling should be conceptualized not merely as a problematic behavior itself but as a potential mediating variable contributing to the development of various problematic Internet use behaviors.
“Notably, binge-scrolling should be conceptualized not merely as a problematic behavior itself but as a potential mediating variable contributing to the development of various problematic Internet use behaviors1,10.”
From The binge scrolling scale measures excessive scrolling through a validated three-factor structure (2025) · cites this paper as [1]
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- Authors
- Park, J., & Jung, Y.
- Affiliations
- Jeil Pharmaceutical (South Korea) (KR)
- Korea University (KR)
- Corresponding author
- Jung, Yoonhyuk
- Venue
- Telematics and Informatics
- Publisher
- Elsevier BV
- Published
- 2024-11
- Volume
- 95
- Pages
- 102200
- ISSN
- 0736-5853 (ISSN-L)
- OpenAlex
- W4403906110
- Semantic Scholar
- 1780f6c65277f69d2c540719acf9d5e93be23ea9
- Cited by
- 38
- References
- 91
- Citations by year
- 2026: 28 · 2025: 10
- FWCI
- 27.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Telematics and Informatics (publishedVersion)
- Funders
- National Research Foundation of Korea
- Korea Ministry of Science and ICT
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
- Keywords
- stimulus-organism-response model, infinite scrolling, self-control failure, user engagement, regret, cognitive engagement, user well-being, platform regulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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