The Evolution of Internet Addiction Disorder
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
PSMU is a complex phenomenon, influenced by many factors, and has been conceptualized in various ways, including as a sub-type of internet addiction.
“PSMU is a complex phenomenon and is influenced by many factors and has been conceptualized in various ways (Bányai et al. 2017), including as being sub-type of internet addiction (Griffiths et al. 2014;Young 2015).”
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References 48 · Cited by 75
- Authors
- Young, K.
- Affiliations
- St. Bonaventure University (US)
- Corresponding author
- Young, Kimberly
- ORCID
- Young, Kimberly
- Venue
- Studies in Neuroscience, Psychology and Behavioral Economics
- Publisher
- Springer International Publishing
- Published
- 2015
- Pages
- 3-17
- ISSN
- 2196-6605 (ISSN-L)
- 2196-6613
- OpenAlex
- W1893500231
- Cited by
- 75
- References
- 48
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 7 · 2023: 8 · 2022: 4 · 2021: 10 · 2020: 7 · 2019: 12 · 2018: 13 · 2017: 5 · 2016: 3
- FWCI
- 44.99
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Studies in neuroscience, psychology and behavioral economics (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Keywords
- internet addiction, risk factors, etiology, neurobiology of addiction, behavior therapy, cognitive behavioral therapy, residential treatment, treatment model, recovery
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.
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