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Informing California privacy regulations with evidence from research

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Lorrie Faith CranorAuthors Info & Claims

Communications of the ACM, Volume 64, Issue 3

Pages 29 - 32

https://doi.org/10.1145/3447253

Published: 22 February 2021 Publication History

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Abstract

Designing and testing 'Do Not Sell My Personal Information' icons.

References

[1]

Cranor, L.F. et al. CCPA Opt-out icon testing---phase 2. May 28, 2020; https://oag.ca.gov/sites/all/files/agweb/pdfs/privacy/dns-icon-study-report-052822020.pdf

Google Scholar

[2]

Cranor, L.F. et al. Design and Evaluation of a Usable Icon and Tagline to Signal an Opt-Out of the Sale of Personal Information as Required by CCPA. February 4, 2020; http://cups.cs.cmu.edu/pubs/CCPA2020Feb04.pdf

Google Scholar

[3]

Cranor, L.F. et al. User Testing of the Proposed CCPA Do-Not-Sell Icon. February 24, 2020. http://cups.cs.cmu.edu/pubs/CCPA2020Feb24.pdf

Google Scholar

[4]

Das, A. et al. Personalized privacy assistants for the Internet of Things: Providing users with notice and choice. IEEE Pervasive Computing 17, 3 (Jul.--Sep. 2018), 35--46

Digital Library

Google Scholar

[5]

Emami-Naeini, P. et al. Ask the experts: What should be on an IoT privacy and security label? In Proceedings of the 2020 IEEE Symposium on Security and Privacy (San Francisco, CA, USA, 2020), pp. 447--464.

Crossref

Google Scholar

[6]

Giovanni Leon, P. What do online behavioral advertising privacy disclosures communicate to users? In Proceedings of the 2012 ACM workshop on Privacy in the electronic society (WPES '12). ACM, New York, NY, USA, 2012, 19--30

Digital Library

Google Scholar

[7]

Habib, H. It's a scavenger hunt: Usability of Websites' opt-out and data deletion choices. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). ACM, New York, NY, USA, 2020, 1--12

Digital Library

Google Scholar

[8]

Habib, H. et al. Toggles, dollar signs, and triangles: How to (in)effectively convey privacy choices with icons and link texts. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '21) (May 2021, Yokohama, Japan). ACM, New York, NY

Digital Library

Google Scholar

[9]

Kelley, P.G., Cranor, L.F., and Sadeh, N. Privacy as part of the app decision-making process. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). ACM, New York, NY, USA, 2013, 3393--3402

Digital Library

Google Scholar

[10]

Kelley, P.G. et al. Standardizing privacy notices: an online study of the nutrition label approach. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). ACM, New York, NY, USA, 2010, 1573--1582.

Digital Library

Google Scholar

[11]

Redmiles, E.M., Kross, S., and Mazurek, M.L. How well do my results generalize? Comparing security and privacy survey results from mturk, web, and telephone samples. In Proceedings of the 2019 IEEE Symposium on Security and Privacy, 1326--1343

Crossref

Google Scholar

[12]

Schaub, F. and Cranor, L.F. Usable and useful privacy interfaces. In An Introduction to Privacy for Technology Professionals, Travis D. Breaux, Ed., IAPP (2020), 176--238; https://iapp.org/media/pdf/certification/IAPP-Intro-to-Privacy-for-Tech-Prof-SAMPLE.pdf

Google Scholar

Cited By

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Franzen DMüller-Birn CWegwarth O(2024)Communicating the Privacy-Utility Trade-off: Supporting Informed Data Donation with Privacy Decision Interfaces for Differential PrivacyProceedings of the ACM on Human-Computer Interaction10.1145/36373098:CSCW1(1-56)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637309
Grover R(2024)Encoding Privacy: Sociotechnical Dynamics of Data Protection Compliance WorkProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642872(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642872
Lami BMohd. Hussein SRajamanickam REmmanuel G(2024)The role of artificial intelligence (AI) in shaping data privacyInternational Journal of Law and Management10.1108/IJLMA-07-2024-0242Online publication date: 25-Nov-2024
https://doi.org/10.1108/IJLMA-07-2024-0242
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Informing California privacy regulations with evidence from research

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Published In

Communications of the ACM Volume 64, Issue 3

March 2021

115 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/3452024

Editor:
Andrew A. Chien
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

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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Published: 22 February 2021

Published in CACM Volume 64, Issue 3

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Franzen DMüller-Birn CWegwarth O(2024)Communicating the Privacy-Utility Trade-off: Supporting Informed Data Donation with Privacy Decision Interfaces for Differential PrivacyProceedings of the ACM on Human-Computer Interaction10.1145/36373098:CSCW1(1-56)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637309
Grover R(2024)Encoding Privacy: Sociotechnical Dynamics of Data Protection Compliance WorkProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642872(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642872
Lami BMohd. Hussein SRajamanickam REmmanuel G(2024)The role of artificial intelligence (AI) in shaping data privacyInternational Journal of Law and Management10.1108/IJLMA-07-2024-0242Online publication date: 25-Nov-2024
https://doi.org/10.1108/IJLMA-07-2024-0242
Patel POghazi PArunachalam S(2023)Does consumer privacy act influence firm performance in the retail industry? Evidence from a US state-level law changeJournal of Business Research10.1016/j.jbusres.2023.113881162(113881)Online publication date: Jul-2023
https://doi.org/10.1016/j.jbusres.2023.113881
Franzen DNuñez von Voigt SSörries PTschorsch FMüller-Birn CYin HStavrou ACremers CShi E(2022)Am I Private and If So, how Many?Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security10.1145/3548606.3560693(1125-1139)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3548606.3560693
Distler VGutfleisch TLallemand CLenzini GKoenig V(2022)Complex, but in a good way? How to represent encryption to non-experts through text and visuals – Evidence from expert co-creation and a vignette experimentComputers in Human Behavior Reports10.1016/j.chbr.2021.1001615(100161)Online publication date: Mar-2022
https://doi.org/10.1016/j.chbr.2021.100161
O'Connor SNurwono RSiebel ABirrell EKim YKim JLivraga GPark N(2021)(Un)clear and (In)conspicuousProceedings of the 20th Workshop on Workshop on Privacy in the Electronic Society10.1145/3463676.3485598(59-72)Online publication date: 15-Nov-2021
https://dl.acm.org/doi/10.1145/3463676.3485598

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Recommendations

Extending layered privacy language to support privacy icons for a personal privacy policy user interface

An analytical framework for online privacy research

Research Commentary-Informing Privacy Research Through Information Systems, Psychology, and Behavioral Economics: Thinking Outside the "APCO" Box

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