Development and validation of the motivations for social media use scale (MSMU) among adolescents
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Social media platforms are extremely attractive to youth, who are motivated to engage with them for communicating with friends, entertainment, social capital, and identity development.
“They are also extremely attractive to youth, who are motivated to engage with them for a host of reasons, including communicating with their friends, but also entertainment, social capital, and identity development [73].”
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- Authors
- Rodgers, R. F., Mclean, S. A., Gordon, C. S., Slater, A., Marques, M. D., Jarman, H. K., & Paxton, S. J.
- Affiliations
- Northeastern University (US)
- La Trobe University (AU)
- University of the West of England (GB)
- Corresponding author
- Rodgers, Rachel F.
- ORCID
- Venue
- Adolescent Research Review
- Published
- 2020-09-09
- Volume
- 6
- Issue
- 4
- Pages
- 425-435
- ISSN
- 2363-8346 (ISSN-L)
- 2363-8354
- OpenAlex
- W3082808559
- Cited by
- 64
- References
- 58
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 24 · 2023: 10 · 2022: 8 · 2021: 3
- FWCI
- 7.01
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Locations
- Adolescent Research Review (publishedVersion)
- Own your potential (DEAKIN) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- UWE Research Repository (UWE Bristol) (submittedVersion, cc-by)
- Funders
- Australian Research Council Discovery Grant (DP170100709)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Body Image and Dysmorphia Studies
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Keywords
- social media use, adolescents, appearance motivation, body image, scale development, psychometric validation, connections, values and interests, self-esteem, internalization of appearance ideals
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.
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