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Sleights of privacy: framing, disclosures, and the limits of transparency

Published: 24 July 2013 Publication History

Abstract

In an effort to address persistent consumer privacy concerns, policy makers and the data industry seem to have found common grounds in proposals that aim at making online privacy more "transparent." Such self-regulatory approaches rely on, among other things, providing more and better information to users of Internet services about how their data is used. However, we illustrate in a series of experiments that even simple privacy notices do not consistently impact disclosure behavior, and may in fact be used to nudge individuals to disclose variable amounts of personal information. In a first experiment, we demonstrate that the impact of privacy notices on disclosure is sensitive to relative judgments, even when the objective risks of disclosure actually stay constant. In a second experiment, we show that the impact of privacy notices on disclosure can be muted by introducing simple misdirections that do not alter the objective risk of disclosure. These findings cast doubts on the likelihood of initiatives predicated around notices and transparency to address, by themselves, online privacy concerns.

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  • (2024)Personalizing Privacy Protection With Individuals' Regulatory Focus: Would You Preserve or Enhance Your Information Privacy?Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642640(1-17)Online publication date: 11-May-2024
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Information & Contributors

Information

Published In

cover image ACM Other conferences
SOUPS '13: Proceedings of the Ninth Symposium on Usable Privacy and Security
July 2013
241 pages
ISBN:9781450323192
DOI:10.1145/2501604
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.

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  • Carnegie Mellon University: Carnegie Mellon University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 July 2013

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Author Tags

  1. behavioral economics
  2. biases
  3. notice and choice
  4. privacy
  5. privacy policies

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  • Research-article

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SOUPS '13
Sponsor:
  • Carnegie Mellon University
SOUPS '13: Symposium On Usable Privacy and Security
July 24 - 26, 2013
Newcastle, United Kingdom

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Overall Acceptance Rate 15 of 49 submissions, 31%

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Cited By

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  • (2024)Transparency and Explainability for Public PolicyLSE Public Policy Review10.31389/lseppr.1113:3Online publication date: 4-Nov-2024
  • (2024)Emotion AI Use in U.S. Mental Healthcare: Potentially Unjust and Techno-SolutionistProceedings of the ACM on Human-Computer Interaction10.1145/36373248:CSCW1(1-46)Online publication date: 26-Apr-2024
  • (2024)Personalizing Privacy Protection With Individuals' Regulatory Focus: Would You Preserve or Enhance Your Information Privacy?Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642640(1-17)Online publication date: 11-May-2024
  • (2024)Enhancing Transparency Through Personal Information Management Systems: Current State of Service Offerings and Considerations for Further AdvancementsPrivacy and Identity Management. Sharing in a Digital World10.1007/978-3-031-57978-3_15(227-243)Online publication date: 23-Apr-2024
  • (2024)Challenges of Usable PrivacyThe Curious Case of Usable Privacy10.1007/978-3-031-54158-2_4(103-131)Online publication date: 20-Mar-2024
  • (2023)Framing Effects on Willingness to Participate in Geolocation-Based ResearchInternational Journal of Market Research10.1177/1470785323117010765:6(665-676)Online publication date: 11-Apr-2023
  • (2023)Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big dataJournal of Information Technology10.1177/0268396222111439438:2(202-229)Online publication date: 24-Feb-2023
  • (2023)Analysing the Influence of Loss-Gain Framing on Data Disclosure Behaviour: A Study on the Use Case of App Permission RequestsProceedings of the 2023 European Symposium on Usable Security10.1145/3617072.3617108(112-125)Online publication date: 16-Oct-2023
  • (2023)Informing Children about Privacy: A Review and Assessment of Age-Appropriate Information Designs in Kids-Oriented F2P Video GamesProceedings of the ACM on Human-Computer Interaction10.1145/36110367:CHI PLAY(425-463)Online publication date: 4-Oct-2023
  • (2023)Data Subjects' Perspectives on Emotion Artificial Intelligence Use in the Workplace: A Relational Ethics LensProceedings of the ACM on Human-Computer Interaction10.1145/35796007:CSCW1(1-38)Online publication date: 16-Apr-2023
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