TY - JOUR
T1 - Biomedical Research Cohort Membership Disclosure on Social Media
AU - Liu, Yongtai
AU - Yan, Chao
AU - Yin, Zhijun
AU - Wan, Zhiyu
AU - Xia, Weiyi
AU - Kantarcioglu, Murat
AU - Vorobeychik, Yevgeniy
AU - Clayton, Ellen Wright
AU - Malin, Bradley A.
N1 - Publisher Copyright:
©2019 AMIA - All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85083755521
M3 - Article
C2 - 32308855
AN - SCOPUS:85083755521
SN - 1559-4076
VL - 2019
SP - 607
EP - 616
JO - AMIA ... Annual Symposium proceedings. AMIA Symposium
JF - AMIA ... Annual Symposium proceedings. AMIA Symposium
ER -