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Privacy, anonymity, and big data in the social sciences

Authors:

Jonathan Whittinghill,

Andrew Dean Ho,

Daniel Thomas Seaton,

Isaac ChuangAuthors Info & Claims

Communications of the ACM, Volume 57, Issue 9

Pages 56 - 63

https://doi.org/10.1145/2643132

Published: 01 September 2014 Publication History

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Abstract

Quality social science research and the privacy of human subjects require trust.

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Kolenbrander JHusmann EHenshaw CRheault EBoswell MMichaels A(2024)Use & Abuse of Personal Information, Part II: Robust Generation of Fake IDs for Privacy ExperimentationJournal of Cybersecurity and Privacy10.3390/jcp40300264:3(546-571)Online publication date: 11-Aug-2024
https://doi.org/10.3390/jcp4030026
Enriquez D(2024)Publishing publicly available interview data: an empirical example of the experience of publishing interview dataFrontiers in Sociology10.3389/fsoc.2024.11575149Online publication date: 5-Jun-2024
https://doi.org/10.3389/fsoc.2024.1157514
Wu NYuan XWang SHu HXue MChua TNgo CKa-Wei Lee RKumar RLauw H(2024)Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning ApproachProceedings of the ACM Web Conference 202410.1145/3589334.3645655(3076-3084)Online publication date: 13-May-2024
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Index Terms

Privacy, anonymity, and big data in the social sciences
1. Applied computing
  1. Law, social and behavioral sciences
  2. Life and medical sciences
2. Human-centered computing

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Published In

Communications of the ACM Volume 57, Issue 9

September 2014

94 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/2663191

Editor:
Moshe Y. Vardi
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 01 September 2014

Published in CACM Volume 57, Issue 9

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Kolenbrander JHusmann EHenshaw CRheault EBoswell MMichaels A(2024)Use & Abuse of Personal Information, Part II: Robust Generation of Fake IDs for Privacy ExperimentationJournal of Cybersecurity and Privacy10.3390/jcp40300264:3(546-571)Online publication date: 11-Aug-2024
https://doi.org/10.3390/jcp4030026
Enriquez D(2024)Publishing publicly available interview data: an empirical example of the experience of publishing interview dataFrontiers in Sociology10.3389/fsoc.2024.11575149Online publication date: 5-Jun-2024
https://doi.org/10.3389/fsoc.2024.1157514
Wu NYuan XWang SHu HXue MChua TNgo CKa-Wei Lee RKumar RLauw H(2024)Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning ApproachProceedings of the ACM Web Conference 202410.1145/3589334.3645655(3076-3084)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645655
Zhan CJoksimović SLadjal DRakotoarivelo TMarshall RPardo A(2024)Preserving Both Privacy and Utility in Learning AnalyticsIEEE Transactions on Learning Technologies10.1109/TLT.2024.339376617(1655-1667)Online publication date: 25-Apr-2024
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Ahmad KIqbal WEl-Hassan AQadir JBenhaddou DAyyash MAl-Fuqaha A(2024)Data-Driven Artificial Intelligence in Education: A Comprehensive ReviewIEEE Transactions on Learning Technologies10.1109/TLT.2023.331461017(12-31)Online publication date: 1-Jan-2024
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Aldoseri AAl-Khalifa KHamouda A(2023)Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and ChallengesApplied Sciences10.3390/app1312708213:12(7082)Online publication date: 13-Jun-2023
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Rao JGao SZhu S(2023)CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approachesInternational Journal of Geographical Information Science10.1080/13658816.2023.226255037:12(2538-2574)Online publication date: 9-Oct-2023
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Harrison AMirsadikov ALuu T(2023)Influence of Media Capabilities on Trust in the Sharing EconomyJournal of Management Information Systems10.1080/07421222.2023.222911840:3(953-982)Online publication date: 23-Aug-2023
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Buccafurri FDe Angelis VLazzaro S(2023)Enabling anonymized open-data linkage by authorized partiesJournal of Information Security and Applications10.1016/j.jisa.2023.10347874(103478)Online publication date: May-2023
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References

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Index Terms

Recommendations

Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing

Hiding personalised anonymity of attributes using privacy preserving data mining

Is Privacy possible without Anonymity?: The case for microblogging services

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