Abstract
There are many factors that account for disclosure of private information on social network sites, but a potentially powerful determinant that remains understudied is social norms, which refer to perceptions of what other people do, approve of, and expect us to do on social media. To address this gap, we conducted an in-depth analysis of descriptive, injunctive, and subjective norms for verbal and visual disclosure on Facebook and Instagram, using a preregistered survey study with 863 participants. We further analyzed whether critical media literacy and media-related self-reflection could buffer against uncritical adoption of these norms. The findings revealed that all three types of norms positively and independently predicted self-disclosure, regardless of the platform or type of self-disclosure (visual vs. verbal), while controlling for other common predictors of self-disclosure, including perceived benefits and risks of self-disclosure. Self-reflection and critical media literacy neither directly predicted disclosure, nor accounted for differences in norm-behavior relationships.
| Original language | English |
|---|---|
| Pages (from-to) | 1-14 |
| Number of pages | 14 |
| Journal | Social Media + Society |
| Volume | 9 |
| Issue number | 1 |
| Early online date | 3 Mar 2023 |
| DOIs | |
| Publication status | Published - Mar 2023 |
Bibliographical note
Funding Information:The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was funded by NSF CHS grant ##1405634 awarded to Natalya N. Bazarova. Recruitment was further funded within the Collaborative Project “Digital Behaviors in the Digital Age” of the Cornell Center for Social Science. Philipp Masur received funding from the Dutch Science Foundation (Grant number: VI.Veni.211 S.063).
Publisher Copyright:
© The Author(s) 2023.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was funded by NSF CHS grant ##1405634 awarded to Natalya N. Bazarova. Recruitment was further funded within the Collaborative Project “Digital Behaviors in the Digital Age” of the Cornell Center for Social Science. Philipp Masur received funding from the Dutch Science Foundation (Grant number: VI.Veni.211 S.063).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
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SDG 10 Reduced Inequalities
Keywords
- media literacy
- privacy
- self-disclosure
- social media
- social norms
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