The Public Perception of the #GeneEditedBabies Event Across Multiple Social Media Platforms: Observational Study

Ni, Congning; Wan, Zhiyu; Yan, Chao; Liu, Yongtai; Clayton, Ellen Wright; Malin, Bradley; Yin, Zhijun

doi:10.2196/31687

Cited by 10 publications

(5 citation statements)

References 48 publications

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“…Natural language processing techniques have been applied to various health care applications [ 25 ]. Considering health care–related social media studies as an example, Liu et al [ 26 ] analyzed the association between weight loss progress and Reddit users’ online interactions; Klein et al [ 27 ] relied upon Twitter data to identify potential cases of COVID-19 in the United States; and Ni et al [ 28 ] compared the attitudes of users of 4 different social platforms toward the “gene-edited babies” event. For DTC-GT, most investigations have focused on consumer motivations [ 29 ], health implications [ 30 ], and ethical implications [ 31 ], with only a handful considering the disclosure of test reports over social platforms [ 8 , 32 , 33 ].…”

Section: Discussionmentioning

confidence: 99%

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

Liu¹,

Yin²,

Wan³

et al. 2022

JMIR Infodemiology

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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.

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Section: Discussionmentioning

confidence: 99%

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

Liu¹,

Yin²,

Wan³

et al. 2022

JMIR Infodemiology

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“…Ni et al ( 46 ) collected more than 220,000 posts published by approximately 130,000 users regarding the #GeneEditedBabies event. Their results showed that although almost all experts opposed this event, many web-based posts supported it.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Li²,

Yao³

et al. 2022

Front. Public Health

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Housing safety and health problems threaten owners' and occupiers' safety and health. Nevertheless, there is no systematic review on this topic to the best of our knowledge. This study compared the academic and public opinions on housing safety and health and reviewed 982 research articles and 3,173 author works on housing safety and health published in the Web of Science Core Collection. PRISMA was used to filter the data, and natural language processing (NLP) was used to analyze emotions of the abstracts. Only 16 housing safety and health articles existed worldwide before 1998 but increased afterward. U.S. scholars published most research articles (30.76%). All top 10 most productive countries were developed countries, except China, which ranked second (16.01%). Only 25.9% of institutions have inter-institutional cooperation, and collaborators from the same institution produce most work. This study found that most abstracts were positive (n = 521), but abstracts with negative emotions attracted more citations. Despite many industries moving toward AI, housing safety and health research are exceptions as per articles published and Tweets. On the other hand, this study reviewed 8,257 Tweets to compare the focus of the public to academia. There were substantially more housing/residential safety (n = 8198) Tweets than housing health Tweets (n = 59), which is the opposite of academic research. Most Tweets about housing/residential safety were from the United Kingdom or Canada, while housing health hazards were from India. The main concern about housing safety per Twitter includes finance, people, and threats to housing safety. By contrast, people mainly concerned about costs of housing health issues, COVID, and air quality. In addition, most housing safety Tweets were neutral but positive dominated residential safety and health Tweets.

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“…In addition to primary data collection using traditional survey and interview techniques. social media platforms such as Twitter and Reddit have grown in importance as a data source for researchers, clinicians, educators, and policy stakeholders to track public opinion [8,9]. Regarding to NIPT, researchers investigated NIPT discussions on Reddit by using content analysis and found that NIPT is regarded as valuable, but raises questions for the public [10].…”

Section: Introductionmentioning

confidence: 99%

Public Opinions and Attitudes toward Non-invasive Prenatal Testing on Reddit: Content and Sentiment Analysis

Xiao,

Yan,

Hayeems

2024

Public Health Genomics

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Introduction: Non-invasive prenatal testing (NIPT) can be used to detect fetal chromosomal abnormalities early in pregnancy. As eligibility criteria broaden and screening targets expand, gauging public acceptability of NIPT becomes increasingly important. Leveraging social media as a rich source of public discourse, the purpose of this study was to understand public opinions and attitudes toward NIPT on the social media platform Reddit. Methods: We applied content and natural language processing techniques (i.e., sentiment analysis) to textual data collected from 4 Reddit communities focusing on the NIPT content posted from September 2012 to September 2022 (367 posts and 7822 comments in total). Results: Content analysis findings indicated that social media users consider NIPT to be worthwhile. Reasons NIPT was perceived to be not worthwhile related to unwanted anxiety, and the fact that NIPT results would not change anything about their approach to pregnancy were also expressed. The sentiment analysis identified more positive than negative emotions; the mean sentiment scores ranged from 0.48 and 1.22, depending on the specific Lexicon used. Specific emotions (i.e., trust, fear) were also identified. Conclusion: Our novel approach to understanding public perception and attitudes toward NIPT yielded results that are consistent with conventional patient-oriented research methods. These findings may not only contribute to ongoing improvements in prenatal patient care, research, and policy but also indicate that sentiment analysis applied to social media data can serve as a suitable means to assess public acceptability of NIPT, particularly as public dialogue on this topic increases over time.

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The Public Perception of the #GeneEditedBabies Event Across Multiple Social Media Platforms: Observational Study

Cited by 10 publications

References 48 publications

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

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

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

Public Opinions and Attitudes toward Non-invasive Prenatal Testing on Reddit: Content and Sentiment Analysis

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