Misplaced Confidences: Privacy and the Control Paradox
Abstract
We test the hypothesis that increasing individuals’ perceived control over the release and access of private information—even information that allows them to be personally identified––will increase their willingness to disclose sensitive information. If their willingness to divulge increases sufficiently, such an increase in control can, paradoxically, end up leaving them more vulnerable. Our findings highlight how, if people respond in a sufficiently offsetting fashion, technologies designed to protect them can end up exacerbating the risks they face.
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Greater control individuals have over the release of personal information is associated with a greater likelihood that they engage in risky behavior, that is, intentionally disclose the data.
“Brandimarte et al. (2012) observed that the greater the control individuals have over the release of personal information, the greater the likelihood that they engage in risky behavior, that is, that they intentionally disclose the data.”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Brandimarte et al. (2012)
The literature indicates several factors that may influence e-privacy decisions, such as the degree of control over the release of personal information, benefits from data disclosure, and e-privacy concerns.
“The literature indicates several factors that may influence eprivacy decisions, such as the degree of control over the release of personal information, benefits from data disclosure, and eprivacy concerns (e.g., Brandimarte et al., 2012;Felt et al., 2012;Egelman et al., 2013;Zafeiropoulou et al., 2013;Buck et al., 2014).”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Brandimarte et al., 2012
Control effects on disclosure decisions, similar to those observed by Brandimarte et al. (2012), are more likely to be observed in medium importance apps.
“Therefore, our results contribute to the literature by suggesting that control effects on disclosure decisions-similar to the ones observed by Brandimarte et al. (2012)-are more likely to be observed in medium importance apps.”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Brandimarte et al. (2012)
Our findings limit the generalization of Brandimarte et al. (2012).
“Consequently, our findings limit the generalization of Brandimarte et al. (2012).”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Brandimarte et al. (2012)
Our study produced mixed results regarding the control paradox.
“Our study produced mixed results regarding the control paradox (Brandimarte et al., 2012).”
From The privacy and control paradoxes in the context of smartphone apps (2022) · cites this paper as Brandimarte et al., 2012
Cites
Preacher, K. J., & Hayes, A. F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.3.879 · Cited by 34,117 · see citing works
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383 · 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
Self-citationInformation Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation
Culnan, M. J., & Armstrong, P. K. (1999) · Organization Science · doi:10.1287/orsc.10.1.104 · Cited by 1,870 · see citing works
Solove, D. J. (2006) · University of Pennsylvania Law Review · doi:10.2307/40041279 · Cited by 1,388 · see citing works
Narcissism, confidence, and risk attitude
Campbell, W. K., Goodie, A. S., & Foster, J. D. (2004) · Journal of Behavioral Decision Making · doi:10.1002/bdm.475 · Cited by 854 · cited 1× · see citing works
“Just like illusion of control (Langer, 1975) makes gamblers feel overconfident and, thus, bet more (Goodie, 2005), control over information publication makes people feel empowered and overconfident about the effects of their “confidences” and induces them to accept higher risks (Campbell et al., 2004) and reveal more.”
Sanderson, W. C. (1989) · Archives of General Psychiatry · doi:10.1001/archpsyc.1989.01810020059010 · Cited by 492 · see citing works
Defaults, Framing and Privacy: Why Opting In-Opting Out1
Johnson, E. J., Bellman, S., & Lohse, G. L. (2002) · Marketing Letters · doi:10.1023/a:1015044207315 · Cited by 388 · see citing works
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Goldfarb, A., & Tucker, C. (2019) · Journal of Economic Literature · doi:10.1257/jel.20171452 · Cited by 2,744 · see citing works
Privacy and human behavior in the age of information
Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015) · Science · doi:10.1126/science.aaa1465 · Cited by 1,879 · see citing works
Self-citationKokolakis, S. (2017) · Computers & Security · doi:10.1016/j.cose.2015.07.002 · Cited by 1,229 · see citing works
The role of data privacy in marketing
Martin, K. D., & Murphy, P. E. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-016-0495-4 · Cited by 902 · see citing works
Social Networks, Personalized Advertising, and Privacy Controls
Tucker, C. E. (2014) · Journal of Marketing Research · doi:10.1509/jmr.10.0355 · Cited by 829 · see citing works
Gerber, N., Gerber, P., & Volkamer, M. (2018) · Computers & Security · doi:10.1016/j.cose.2018.04.002 · Cited by 511 · see citing works
Disclosure of sensitive behaviors across self-administered survey modes: a meta-analysis
Gnambs, T., & Kaspar, K. (2015) · Behavior Research Methods · doi:10.3758/s13428-014-0533-4 · Cited by 422 · see citing works
Kehr, F., Kowatsch, T., Wentzel, D., & Fleisch, E. (2015) · Information Systems Journal · doi:10.1111/isj.12062 · Cited by 410 · see citing works
van Ooijen, I., & Vrabec, H. U. (2019) · Journal of Consumer Policy · doi:10.1007/s10603-018-9399-7 · Cited by 180 · see citing works
Do you mind if I ask you a personal question? How AI service agents alter consumer self-disclosure
Kim, T. W., Jiang, L., Duhachek, A., Lee, H., & Garvey, A. (2022) · Journal of Service Research · doi:10.1177/10946705221120232 · Cited by 177 · see citing works
The Debate on the Moral Responsibilities of Online Service Providers
Taddeo, M., & Floridi, L. (2016) · Science and Engineering Ethics · doi:10.1007/s11948-015-9734-1 · Cited by 141 · see citing works
Student privacy self-management: implications for learning analytics
Prinsloo, P., & Slade, S. (2015) · Proceedings of the Fifth International Conference on Learning Analytics And Knowledge · doi:10.1145/2723576.2723585 · Cited by 119 · see citing works
Towards a value theory for personal data
Spiekermann, S., & Korunovska, J. (2017) · Journal of Information Technology · doi:10.1057/jit.2016.4 · Cited by 99 · see citing works
Priester, A., Robbert, T., & Roth, S. (2020) · Journal of Revenue and Pricing Management · doi:10.1057/s41272-019-00224-3 · Cited by 90 · see citing works
The answer is (not only) technological: Considering student data privacy in learning analytics
Prinsloo, P., Slade, S., & Khalil, M. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13216 · Cited by 77 · see citing works
Privacy Cynicism and its Role in Privacy Decision-Making
van Ooijen, I., Segijn, C. M., & Opree, S. J. (2024) · Communication Research · doi:10.1177/00936502211060984 · Cited by 81 · see citing works
Voorveld, H. A. M., Meppelink, C. S., & Boerman, S. C. (2024) · International Journal of Advertising · doi:10.1080/02650487.2023.2264045 · Cited by 62 · see citing works
Strycharz, J., & Segijn, C. M. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114490 · Cited by 38 · see citing works
Portes, A., N’Goala, G., & Cases, A.-S. (2020) · Recherche et Applications en Marketing (English Edition) · doi:10.1177/2051570720973548 · Cited by 26 · see citing works
DIPA2: An Image Dataset with Cross-cultural Privacy Perception Annotations
Xu, A., Zhou, Z., Miyazaki, K., Yoshikawa, R., Hosio, S., & Yatani, K. (2023) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3631439 · Cited by 15 · see citing works
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Ju, I., Ham, C.-D., & Yel, E. (2026) · Journal of Advertising · doi:10.1080/00913367.2025.2593666 · Cited by 5 · see citing works
The privacy and control paradoxes in the context of smartphone apps
Ayres-Pereira, V., Pirrone, A., Korbmacher, M., Tjostheim, I., & Böhm, G. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.986138 · Cited by 4 · see citing works
“Our study produced mixed results regarding the control paradox (Brandimarte et al., 2012).”
BackgroundResult
- Authors
- Brandimarte, L., Acquisti, A., & Loewenstein, G.
- Affiliations
- Carnegie Mellon University (US)
- Corresponding author
- Brandimarte, Laura
- Venue
- Social Psychological and Personality Science
- Publisher
- SAGE Publications
- Published
- 2012-08-09
- Volume
- 4
- Issue
- 3
- Pages
- 340-347
- ISSN
- 1948-5506 (ISSN-L)
- 1948-5514
- OpenAlex
- W2143953012
- Cited by
- 522
- References
- 8
- Citations by year
- 2026: 36 · 2025: 41 · 2024: 42 · 2023: 39 · 2022: 37 · 2021: 42 · 2020: 48 · 2019: 33 · 2018: 37 · 2017: 49 · 2016: 23 · 2015: 40 · 2014: 30 · 2013: 20 · 2012: 4
- FWCI
- 99.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Social Psychological and Personality Science (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
- Keywords
- perceived control, sensitive information disclosure, privacy, personal data, personally identifiable information, privacy technologies, privacy paradox
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