Couldn’t or wouldn’t? The influence of privacy concerns and self-efficacy in privacy management on privacy protection
Open accessAbstract
Sampling 515 college students, this study investigates how privacy protection, including profile visibility, self-disclosure, and friending, are influenced by privacy concerns and efficacy regarding one's own ability to manage privacy settings, a factor that researchers have yet to give a great deal of attention to in the context of social networking sites (SNSs). The results of this study indicate an inconsistency in adopting strategies to protect privacy, a disconnect from limiting profile visibility and friending to self-disclosure. More specifically, privacy concerns lead SNS users to limit their profile visibility and discourage them from expanding their network. However, they do not constrain self-disclosure. Similarly, while self-efficacy in privacy management encourages SNS users to limit their profile visibility, it facilitates self-disclosure. This suggests that if users are limiting their profile visibility and constraining their friending behaviors, it does not necessarily mean they will reduce self-disclosure on SNSs because these behaviors are predicted by different factors. In addition, the study finds an interaction effect between privacy concerns and self-efficacy in privacy management on friending. It points to the potential problem of increased risk-taking behaviors resulting from high self-efficacy in privacy management and low privacy concerns.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Self-efficacy in privacy management on social networking sites can outweigh privacy concerns especially for those with low prior privacy concerns.
“This suggests that self-efficacy in privacy management on social networking sites can outweigh privacy concerns especially for those with low prior privacy concerns (Chen and Chen, 2015).”
From The privacy paradox – investigating discrepancies between expressed privacy concerns and actual online behavior – a systematic literature review (2017) · cites this paper as Chen and Chen, 2015
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251 · see citing works
Social capital, self-esteem, and use of online social network sites: A longitudinal analysis.
Steinfield, C., Ellison, N. B., & Lampe, C. (2008) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2008.07.002 · Cited by 1,919 · see citing works
Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook
Acquisti, A., & Gross, R. (2006) · Lecture Notes in Computer Science · doi:10.1007/11957454_3 · Cited by 1,895 · see citing works
Livingstone, S. (2008) · New Media & Society · doi:10.1177/1461444808089415 · Cited by 1,780 · see citing works
Internet social network communities: Risk taking, trust, and privacy concerns
Fogel, J., & Nehmad, E. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.08.006 · Cited by 987 · see citing works
Kim, Y., Sohn, D., & Choi, S. M. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.08.015 · Cited by 856 · see citing works
Christofides, E., Muise, A., & Desmarais, S. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2008.0226 · Cited by 696 · see citing works
YOUN, S. (2009) · Journal of Consumer Affairs · doi:10.1111/j.1745-6606.2009.01146.x · Cited by 449 · see citing works
Fried, C. (1968) · The Yale Law Journal · doi:10.2307/794941 · Cited by 315 · see citing works
Chen, H.-T., & Kim, Y. (2013) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2011.0608 · Cited by 169 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Barth, S., & de Jong, M. D. T. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.04.013 · Cited by 798 · see citing works
Alalwan, A. A., Baabdullah, A. M., Al-Debei, M. M., Raman, R., Alhitmi, H. K., Abu-ElSamen, A. A., & Dwivedi, Y. K. (2024) · International Journal of Bank Marketing · doi:10.1108/ijbm-08-2022-0339 · Cited by 57 · see citing works
Factors affecting users' online privacy literacy among students in Israel
Weinberger, M., Zhitomirsky-Geffet, M., & Bouhnik, D. (2017) · Online Information Review · doi:10.1108/oir-05-2016-0127 · Cited by 36 · see citing works
Privacy Perceptions of Custom GPTs by Users and Creators
Ma, R., Maidhof, C., Carrillo, J. C., Lindqvist, J., & Such, J. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713540 · Cited by 8 · see citing works
- Authors
- Chen, H.-T., & Chen, W.
- Affiliations
- Chinese University of Hong Kong (HK)
- The University of Texas at Austin (US)
- Corresponding author
- Chen, Hsuan-Ting
- Venue
- Cyberpsychology, Behavior, and Social Networking
- Publisher
- SAGE Publications
- Published
- 2015-01-01
- Volume
- 18
- Issue
- 1
- Pages
- 13-19
- ISSN
- 2152-2715 (ISSN-L)
- 2152-2723
- OpenAlex
- W2034684087
- Cited by
- 164
- References
- 11
- Citations by year
- 2026: 22 · 2025: 10 · 2024: 16 · 2023: 21 · 2022: 20 · 2021: 23 · 2020: 13 · 2019: 12 · 2018: 13 · 2017: 11 · 2016: 3
- FWCI
- 29.85
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Cyberpsychology Behavior and Social Networking (publishedVersion)
- PubMed (publishedVersion)
- Texas ScholarWorks (Texas Digital Library) (submittedVersion, other-oa)
- Texas Digital Library (University of Texas)
- Funders
- University of Texas at Austin
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- privacy preservation, privacy concerns, self-efficacy, privacy management, social networking sites, self-disclosure, university students, risk-taking, privacy settings
- MeSH terms
- Adult, Female, Humans, Male, Self Disclosure, Privacy, Self Efficacy, Internet, Friends, Young Adult, Social Networking
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 ›
Are you an author, or do you see a problem with this page? Request a review
