The role of disclosure of personal information in the evaluation of risk and trust in young peoples’ online interactions
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Consumers value privacy and are generally cautious about sharing personal information online.
“Given that consumers value privacy and are generally cautious about sharing personal information online [55]”
From Consumer Responses to Generative AI Chatbots Versus Search Engines for Product Evaluation (2025) · cites this paper as [55]
Cites
Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414 · see citing works
Handbook of Adolescent Psychology
(2009) · doi:10.1002/9780470479193 · Cited by 2,938 · see citing works
Preadolescents' and adolescents' online communication and their closeness to friends.
Valkenburg, P. M., & Peter, J. (2007) · Developmental Psychology · doi:10.1037/0012-1649.43.2.267 · Cited by 870 · see citing works
Adolescent Internet use: What we expect, what teens report
Gross, E. F. (2004) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2004.09.005 · Cited by 866 · see citing works
Reich, S. M., Subrahmanyam, K., & Espinoza, G. (2012) · Developmental Psychology · doi:10.1037/a0026980 · Cited by 411 · see citing works
Group Identity and Alienation: Giving the We Its Due
Newman, B. M., & Newman, P. R. (2001) · Journal of Youth and Adolescence · doi:10.1023/a:1010480003929 · Cited by 155 · see citing works
Flagged first, then by citations
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Adolescent Online Safety: Moving Beyond Formative Evaluations to Designing Solutions for the Future
Pinter, A. T., Wisniewski, P. J., Xu, H., Rosson, M. B., & Caroll, J. M. (2017) · Proceedings of the 2017 Conference on Interaction Design and Children · doi:10.1145/3078072.3079722 · Cited by 79 · see citing works
Singleton, A., Abeles, P., & Smith, I. C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.011 · Cited by 62 · see citing works
Consumer Responses to Generative AI Chatbots Versus Search Engines for Product Evaluation
Kim, S., & Priluck, R. (2025) · Journal of Theoretical and Applied Electronic Commerce Research · doi:10.3390/jtaer20020093 · Cited by 20 · see citing works
“Given that consumers value privacy and are generally cautious about sharing personal information online [55], focusing on the depth of self-disclosure provides a more meaningful way to capture consumers’ behavioral intentions online.”
Akter, M., Park, J. K., Headrick, C. R., Page, X., & Wisniewski, P. J. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757564 · Cited by 8 · see citing works
- Authors
- Bryce, J., & Fraser, J.
- Affiliations
- University of Lancashire (GB)
- Corresponding author
- Bryce, Jo
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 30
- Pages
- 299-306
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2106342240
- Cited by
- 104
- References
- 6
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 8 · 2023: 8 · 2022: 5 · 2021: 6 · 2020: 10 · 2019: 12 · 2018: 9 · 2017: 10 · 2016: 15 · 2015: 4 · 2014: 2
- FWCI
- 20.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- CLOK (University of Central Lancashire) (acceptedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
- Keywords
- personal information disclosure, online risk perception, trust, youth, online relationships, identity verification, peer relationships, age differences, online safety
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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