skip to main content
10.1145/2556288.2557413acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article
Open Access

A field trial of privacy nudges for facebook

Published:26 April 2014Publication History

ABSTRACT

Anecdotal evidence and scholarly research have shown that Internet users may regret some of their online disclosures. To help individuals avoid such regrets, we designed two modifications to the Facebook web interface that nudge users to consider the content and audience of their online disclosures more carefully. We implemented and evaluated these two nudges in a 6-week field trial with 28 Facebook users. We analyzed participants' interactions with the nudges, the content of their posts, and opinions collected through surveys. We found that reminders about the audience of posts can prevent unintended disclosures without major burden; however, introducing a time delay before publishing users' posts can be perceived as both beneficial and annoying. On balance, some participants found the nudges helpful while others found them unnecessary or overly intrusive. We discuss implications and challenges for designing and evaluating systems to assist users with online disclosures.

References

  1. A. Acquisti. Privacy in electronic commerce and the economics of immediate gratification. In Electronic commerce, pages 21--29. ACM, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. A. Acquisti. Nudging privacy: The behavioral economics of personal information. IEEE Security and Privacy, 7(6):82--85, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. A. Acquisti and R. Gross. Imagined communities: Awareness, information sharing, and privacy on the facebook. In PETS, pages 36--58. Springer, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. A. Acquisti and J. Grossklags. Privacy and rationality in individual decision making. Security & Privacy, IEEE, 3(1):26--33, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. I. Adjerid, A. Acquisti, L. Brandimarte, and G. Loewenstein. Sleights of privacy: Framing, disclosures, and the limits of transparency. In SOUPS, pages 9:1--9:11. ACM, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. G. A. Akerlof. The market for "lemons": Quality uncertainty and the market mechanism. The quarterly journal of economics, pages 488--500, 1970.Google ScholarGoogle Scholar
  7. M. S. Bernstein, E. Bakshy, M. Burke, and B. Karrer. Quantifying the invisible audience in social networks. In SIGCHI, pages 21--30. ACM, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. A. Besmer and H. Lipford. Tagged photos: concerns, perceptions, and protections. In Proc. CHI Ext. Abs., pages 4585--4590, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. d. boyd and N. Ellison. Social network sites: Definition, history, and scholarship. J. of Computer-Mediated Commun., 13(1), 2007.Google ScholarGoogle Scholar
  10. E. Choe, J. Jung, B. Lee, and K. Fisher. Nudging people away from privacy-invasive mobile apps through visual framing. In INTERACT, pages 74--91. Springer Berlin Heidelberg, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  11. L. Fang and K. LeFevre. Privacy wizards for social networking sites. In WWW, pages 351--360. ACM, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. A. Forget, S. Chiasson, P. C. van Oorschot, and R. Biddle. Improving text passwords through persuasion. In SOUPS, page 112. ACM, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. S. Frederick, G. Loewenstein, and O. T. Time discounting and time preference: A critical review. J. of Econ. Lit., 40(2):351--401, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  14. E. Goffman. The presentation of self in everyday life. 1959. Garden City, NY, 2002.Google ScholarGoogle Scholar
  15. R. Gross and A. Acquisti. Information revelation and privacy in online social networks. In WPES, pages 71--80, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. K. E. Jenni and G. Loewenstein. Explaining the identifiable victim effect. Journal of Risk and Uncertainty, 14(3):235--257, 1997.Google ScholarGoogle ScholarCross RefCross Ref
  17. D. Kahneman. A perspective on judgment and choice: Mapping bounded rationality. American psychologist, pages 697--720, 2003.Google ScholarGoogle Scholar
  18. D. Laibson. Golden eggs and hyperbolic discounting. The Quarterly J. of Econ., 112(2):443--478, May 1997.Google ScholarGoogle ScholarCross RefCross Ref
  19. H. R. Lipford, J. Watson, M. Whitney, N. Carolina, H. Lipford, K. Froiland, and R. W. Reeder. Visual vs. Compact: A Comparison of Privacy Policy Interfaces. Interfaces, pages 1111--1114, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. M. Madejski, M. Johnson, and S. M. Bellovin. The failure of online social network privacy settings. Technical report, Columbia University, 2011.Google ScholarGoogle Scholar
  21. A. Marwick and d. boyd. I tweet honestly, i tweet passionately: Twitter users, context collapse, and the imagined audience. New Media & Society, 13(1):114, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  22. H. A. Simon. A behavioral model of rational choice. The Quarterly J. of Econ., 69(1):99--118, Feb. 1955.Google ScholarGoogle ScholarCross RefCross Ref
  23. F. Stutzman, R. Gross, and A. Acquisti. Silent listeners: The evolution of privacy and disclosure on facebook. J. of Privacy and Confidentiality, 4(2), Mar. 2013.Google ScholarGoogle ScholarCross RefCross Ref
  24. R. H. Thaler and C. R. Sunstein. Libertarian paternalism. Am. Econ. Rev., 93(2):175--179, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  25. R. H. Thaler and C. R. Sunstein. Nudge: Improving Decisions About Health, Wealth, and Happiness. Yale University Press, 1 edition, Apr. 2008.Google ScholarGoogle Scholar
  26. A. Tversky and D. Kahneman. Judgment under uncertainty: Heuristics and biases. science, 185(4157):1124--1131, 1974.Google ScholarGoogle Scholar
  27. B. Ur, P. Kelley, S. Komanduri, J. Lee, M. Maass, M. Mazurek, T. Passaro, R. Shay, T. Vidas, L. Bauer, N. Christin, and L. Cranor. How does your password measure up' the effect of strength meters on password creation. In Proc. USENIX Security, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Y. Wang, S. Komanduri, P. G. Leon, G. Norcie, A. Acquisti, and L. F. Cranor. "I regretted the minute I pressed share": A qualitative study of regrets on facebook. In SOUPS, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Y. Wang, P. G. Leon, K. Scott, X. Chen, A. Acquisti, L. F. Cranor, and N. Sadeh. Privacy nudges for social media: An exploratory facebook study. PSOSM, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. S. Wilson, J. Cranshaw, N. Sadeh, A. Acquisti, L. F. Cranor, J. Springfield, S. Y. Jeong, and A. Balasubramanian. Privacy manipulation and acclimation in a location sharing application. In UbiComp, pages 549--558. ACM, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A field trial of privacy nudges for facebook

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2014
      4206 pages
      ISBN:9781450324731
      DOI:10.1145/2556288

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 26 April 2014

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      CHI '14 Paper Acceptance Rate465of2,043submissions,23%Overall Acceptance Rate6,199of26,314submissions,24%

      Upcoming Conference

      CHI '24
      CHI Conference on Human Factors in Computing Systems
      May 11 - 16, 2024
      Honolulu , HI , USA

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader