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Big data's end run around procedural privacy protections

Authors:

Solon Barocas,

Helen NissenbaumAuthors Info & Claims

Communications of the ACM, Volume 57, Issue 11

Pages 31 - 33

https://doi.org/10.1145/2668897

Published: 27 October 2014 Publication History

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Abstract

Recognizing the inherent limitations of consent and anonymity.

References

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Barocas, S. and Nissenbaum, H. Big data's end run around anonymity and consent. In Privacy, Big Data, and the Public Good: Frameworks for Engagement. J. Lane, V. Stodden, S. Bender, and H. Nissenbaum, Eds. Cambridge University Press, NY, 2014.

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Cited By

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Whitney CNorman J(2024)Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent CircumventionProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3659002(1733-1744)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3630106.3659002
Chiang YKhan OBates ACobb C(2024)More than just informed: The importance of consent facets in smart homesProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642288(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642288
Chatterjee SSarker S(2024)Toward a better digital future: Balancing the utopic and dystopic ramifications of digitalizationThe Journal of Strategic Information Systems10.1016/j.jsis.2024.10183433:2(101834)Online publication date: Jun-2024
https://doi.org/10.1016/j.jsis.2024.101834
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Index Terms

Big data's end run around procedural privacy protections
1. Social and professional topics
  1. Computing / technology policy
  2. Professional topics
    1. Computing profession
      1. Codes of ethics

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Information

Published In

Communications of the ACM Volume 57, Issue 11

November 2014

95 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/2684442

Editor:
Moshe Y. Vardi
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: 27 October 2014

Published in CACM Volume 57, Issue 11

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Whitney CNorman J(2024)Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent CircumventionProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3659002(1733-1744)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3630106.3659002
Chiang YKhan OBates ACobb C(2024)More than just informed: The importance of consent facets in smart homesProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642288(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642288
Chatterjee SSarker S(2024)Toward a better digital future: Balancing the utopic and dystopic ramifications of digitalizationThe Journal of Strategic Information Systems10.1016/j.jsis.2024.10183433:2(101834)Online publication date: Jun-2024
https://doi.org/10.1016/j.jsis.2024.101834
Ribera Martínez A(2023)The Circularity of Consent in the DMA: A Close Look into the Prejudiced Substance of Articles 5(2) and 6(10)SSRN Electronic Journal10.2139/ssrn.4643462Online publication date: 2023
https://doi.org/10.2139/ssrn.4643462
Li WLi ZLi WZhang YLi A(2023)Mapping the Empirical Evidence of the GDPR's (In-)Effectiveness: A Systematic ReviewSSRN Electronic Journal10.2139/ssrn.4615186Online publication date: 2023
https://doi.org/10.2139/ssrn.4615186
Knowles BConchie S(2023)Un-Paradoxing Privacy: Considering Hopeful TrustACM Transactions on Computer-Human Interaction10.1145/360932930:6(1-24)Online publication date: 25-Sep-2023
https://dl.acm.org/doi/10.1145/3609329
Cofone I(2023)NotesThe Privacy Fallacy10.1017/9781108995825.010(173-242)Online publication date: 16-Nov-2023
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Andrew JBaker MHuang C(2023)Data breaches in the age of surveillance capitalism: Do disclosures have a new role to play?Critical Perspectives on Accounting10.1016/j.cpa.2021.10239690(102396)Online publication date: Jan-2023
https://doi.org/10.1016/j.cpa.2021.102396
Hofman DVillagran M(2023)Queer Privacy Protection: Challenges and the Fight within LibrariesInternational Journal for the Semiotics of Law - Revue internationale de Sémiotique juridique10.1007/s11196-023-09994-x36:5(2157-2178)Online publication date: 20-Apr-2023
https://doi.org/10.1007/s11196-023-09994-x
Chomanski BLauwaert L(2023)Online consent: how much do we need to know?AI & SOCIETY10.1007/s00146-023-01790-2Online publication date: 13-Oct-2023
https://doi.org/10.1007/s00146-023-01790-2
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Abstract

References

Cited By

Index Terms

Recommendations

Big data privacy: The datafication of personal information

Big Data Privacy Based on Differential Privacy a Hope for Big Data

Privacy Preserving Unstructured Big Data Analytics

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