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Only for Friends, Definitely Not for Parents

Adolescents’ Sharing of Alcohol References on Social Media Features

Bibliographic Data

ID12748976
AuthorsRobyn Vanherle (0000-0003-2324-2785, KU Leuven, corresponding author), Hanneke Hendriks (0000-0003-4184-0252, Radboud University Nijmegen), Kathleen Beullens (0000-0002-0530-7947, KU Leuven)
Year2022
Volume26
Issue1
Pages47-73
Publication date2022-02-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMass Communication & Society (JOURNAL)
Journal identifiersISSN: 1520-5436 • E-ISSN: 1532-7825
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/15205436.2022.2035767
OpenAlexW4210586428
LanguageEN
Citations received15
References cited41

Although previous studies have examined alcohol-related posts on social media, the variety in studied platforms and features has been limited. Therefore, by conducting 26 go-along interviews (age 14–18, M = 16.31, SD = .84), this study investigated (1) whether alcohol-related posts differ across SNS features (i.e., chat, feed, story, snap) and (2) whether privacy management strategies play a role in adolescents’ decisions to disclose these different alcohol posts across different SNS features. The findings of this study underline the important role of features’ affordances. Particularly, based on the public visibility of a feature, adolescents reported eliminating certain audiences (e.g., peers, parents) by adapting privacy settings or by strategically selecting more private features before sharing transgressive alcohol posts on these features. In all, this paper broadens the current knowledge about the depiction of alcohol posts in the heterogeneous media landscape. Implications for interventions are proposed

Affordance · Cognitive psychology · Depiction · Internet privacy · Psychological intervention · Social media · Variety (cybernetics · Visibility · World Wide Web · Computer Science · Impact of Technology on Adolescents · Privacy, Security, and Data Protection · Psychology · Social Media and Politics · Social Psychology · Artificial Intelligence

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Unique citing works15
Citations per year3,75
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 15

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