Evidence map›Paper›PMID 37113452›Full record

ArticleJMIR infodemiology

Implicit Incentives Among Reddit Users to Prioritize Attention Over Privacy and Reveal Their Faces When Discussing Direct-to-Consumer Genetic Test Results: Topic and Attention Analysis.

Yongtai Liu, Zhijun Yin, Zhiyu Wan, Chao Yan, Weiyi Xia, Congning Ni, Ellen Wright Clayton, Yevgeniy Vorobeychik, Murat Kantarcioglu, Bradley A Malin

Abstract read
In one paragraph

Article in JMIR infodemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yongtai LiuDepartment of Computer Science Vanderbilt University Nashville, TN United States.ORCID https://orcid.org/0000-0002-0279-3644
Zhijun YinDepartment of Computer Science Vanderbilt University Nashville, TN United States.ORCID https://orcid.org/0000-0002-3075-1337
Zhiyu WanDepartment of Biomedical Informatics Vanderbilt University Medical Center Nashville, TN United States.ORCID https://orcid.org/0000-0003-3752-5778
Chao YanDepartment of Biomedical Informatics Vanderbilt University Medical Center Nashville, TN United States.ORCID https://orcid.org/0000-0002-6719-1388
Weiyi XiaDepartment of Biomedical Informatics Vanderbilt University Medical Center Nashville, TN United States.ORCID https://orcid.org/0000-0003-0406-4944
Congning NiDepartment of Computer Science Vanderbilt University Nashville, TN United States.ORCID https://orcid.org/0000-0001-6950-6948
Ellen Wright ClaytonSchool of Law, Vanderbilt University Nashville, TN United States.ORCID https://orcid.org/0000-0002-0308-4110
Yevgeniy VorobeychikDepartment of Computer Science and Engineering, Washington University in St. Louis St. Louis, MO United States.ORCID https://orcid.org/0000-0003-2471-5345
Murat KantarciogluDepartment of Computer Science, University of Texas at Dallas Richardson, TX United States.ORCID https://orcid.org/0000-0001-9795-9063
Bradley A MalinDepartment of Computer Science Vanderbilt University Nashville, TN United States.ORCID https://orcid.org/0000-0003-3040-5175

Funding

Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
Genetic Privacy and Identity in Community Settings - GetPreCiSeRM1HG009034 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CLAYTON, ELLEN WRIGHT, MALIN, BRADLEY A. · 2016 to 2024
$8.3M
A Risk Management Framework for Identifiability in Genomics ResearchR01HG006844 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MALIN, BRADLEY A. · 2012 to 2019
$2.4M
NHGRI NIH HHS R01 HG006844NHGRI NIH HHS RM1 HG009034NIH HHS U2C OD023196
6 · The paper itself

Abstract

Background: As direct-to-consumer genetic testing services have grown in popularity, the public has increasingly relied upon online forums to discuss and share their test results. Initially, users did so anonymously, but more recently, they have included face images when discussing their results. Various studies have shown that sharing images on social media tends to elicit more replies. However, users who do this forgo their privacy. When these images truthfully represent a user, they have the potential to disclose that user's identity. Objective: This study investigates the face image sharing behavior of direct-to-consumer genetic testing users in an online environment to determine if there exists an association between face image sharing and the attention received from other users. Methods: This study focused on r/23andme, a subreddit dedicated to discussing direct-to-consumer genetic testing results and their implications. We applied natural language processing to infer the themes associated with posts that included a face image. We applied a regression analysis to characterize the association between the attention that a post received, in terms of the number of comments, the karma score (defined as the number of upvotes minus the number of downvotes), and whether the post contained a face image. Results: We collected over 15,000 posts from the r/23andme subreddit, published between 2012 and 2020. Face image posting began in late 2019 and grew rapidly, with over 800 individuals revealing their faces by early 2020. The topics in posts including a face were primarily about sharing, discussing ancestry composition, or sharing family reunion photos with relatives discovered via direct-to-consumer genetic testing. On average, posts including a face image received 60% (5/8) more comments and had karma scores 2.4 times higher than other posts. Conclusions: Direct-to-consumer genetic testing consumers in the r/23andme subreddit are increasingly posting face images and testing reports on social platforms. The association between face image posting and a greater level of attention suggests that people are forgoing their privacy in exchange for attention from others. To mitigate this risk, platform organizers and moderators could inform users about the risk of posting face images in a direct, explicit manner to make it clear that their privacy may be compromised if personal images are shared.

Indexed as

direct-to-consumer genetic testingsocial mediatopic modeling

Identifiers

PMID37113452
PMCPMC9987181

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.