Literature DB >> 32308855

Biomedical Research Cohort Membership Disclosure on Social Media.

Yongtai Liu1, Chao Yan1, Zhijun Yin1, Zhiyu Wan1, Weiyi Xia1, Murat Kantarcioglu2, Yevgeniy Vorobeychik3, Ellen Wright Clayton1, Bradley A Malin1,4.   

Abstract

To accelerate medical knowledge discovery, an increasing number of research programs are gathering and sharing data on a large number of participants. Due to the privacy concerns and legal restrictions on data sharing, these programs apply various strategies to mitigate privacy risk. However, the activities of participants and research program sponsors, particularly on social media, might reveal an individual's membership in a study, making it easier to recognize participants' records and uncover the information they have yet to disclose. This behavior can jeopardize the privacy of the participants themselves, the reputation of the projects, sponsors, and the research enterprise. To investigate the dangers of self-disclosure behavior, we gathered and analyzed 4,020 tweets, and uncovered over 100 tweets disclosing the individuals' memberships in over 15 programs. Our investigation showed that self-disclosure on social media can reveal participants' membership in research cohorts, and such activity might lead to the leakage of a person's identity, genomic, and other sensitive health information. ©2019 AMIA - All rights reserved.

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Year:  2020        PMID: 32308855      PMCID: PMC7153128     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  28 in total

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5.  Detecting the Presence of an Individual in Phenotypic Summary Data.

Authors:  Yongtai Liu; Zhiyu Wan; Weiyi Xia; Murat Kantarcioglu; Yevgeniy Vorobeychik; Ellen Wright Clayton; Abel Kho; David Carrell; Bradley A Malin
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

6.  A systematic literature review of machine learning in online personal health data.

Authors:  Zhijun Yin; Lina M Sulieman; Bradley A Malin
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8.  Comparison of methods for collection of DNA samples by mail in the Black Women's Health Study.

Authors:  Yvette C Cozier; Julie R Palmer; Lynn Rosenberg
Journal:  Ann Epidemiol       Date:  2004-02       Impact factor: 3.797

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Authors:  Carl Lee Hanson; Ben Cannon; Scott Burton; Christophe Giraud-Carrier
Journal:  J Med Internet Res       Date:  2013-09-06       Impact factor: 5.428

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  3 in total

1.  Sharing Time-to-Event Data with Privacy Protection.

Authors:  Luca Bonomi; Liyue Fan
Journal:  IEEE Int Conf Healthc Inform       Date:  2022-09-08

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Authors:  Luca Bonomi; Zeyun Wu; Liyue Fan
Journal:  J Am Med Inform Assoc       Date:  2022-06-14       Impact factor: 7.942

3.  Housing safety and health academic and public opinion mining from 1945 to 2021: PRISMA, cluster analysis, and natural language processing approaches.

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  3 in total

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