ArticleJAMA network open2023
Assessment of Accuracy, User Engagement, and Themes of Eating Disorder Content in Social Media Short Videos.
Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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.
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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.
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Who cites it
16 citing papers in PubMed, 28 citations in OpenAlex.
- "Influencing the influencers:" a field experimental approach to promoting effective mental health communication on TikTok.Scientific reports · 2024Trial
- Tick-Tock, the Time Has Come: Leveraging TikTok to Understand, Prevent, and Treat Eating Disorders.The International journal of eating disorders · 2026Review
- TikTok and Instagram as Putative Social Media in Promoting Healthy Eating Habits in Youths At-Risk for Eating/Feeding Disorders and Body Image Dissatisfaction.Brain sciences · 2026Article
- TikTok as a Platform for Patient Education and Health Information in Rare Genetic Diseases: Cross-Sectional Study.JMIR formative research · 2026Article
- "You Say Cognitive, I Say Cognitive": Can Misinformation-Informed Interventions Help Reduce Risk for Disordered Eating in Youth?The International journal of eating disorders · 2026Article
- Quality and reliability of semaglutide-related health information on Chinese short-video platforms: a cross-sectional study of Bilibili and TikTok.Frontiers in public health · 2026Article
- 'Falling down the rabbit hole': a thematic analysis of young people's views on TikTok algorithms and eating disorder content.Journal of eating disorders · 2025Article
- Quality Assessment of Radiotherapy Health Information on Short-Form Video Platforms of TikTok and Bilibili: Cross-Sectional Study.JMIR cancer · 2025Article
- Posttraumatic Stress Disorder Content on TikTok: Cross-Sectional Analysis of Popular #PTSD Posts.Online journal of public health informatics · 2025Article
- The Most Popular Videos Promoting Breast Enhancement Products on TikTok: Cross-Sectional Content and User Engagement Analysis.Journal of medical Internet research · 2025Article
- Healthy or skinny? The negotiation between fear appeal and danmu in anorexia awareness videos.Journal of eating disorders · 2025Article
- Cross-platform analysis of atrial fibrillation scientific videos: using composite index and a basic assessment scale.Frontiers in public health · 2025Article
- The status quo of short videos as a source of health information regarding bowel preparation before colonoscopy.Frontiers in public health · 2024Article
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- Assessment of the most popular short videos about hemorrhoids on Chinese TikTok: A cross-sectional study.Digital healthArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Social media is simultaneously home to communities of users who promote eating disorders as a lifestyle and users who advocate for recovery. As studies have confirmed an association between exposure to pro-eating disorder content and engaging in disordered eating behaviors, an examination of the accuracy of and interactions with information shared in these complex and contradictory communities can provide insights into content available to users at risk. Objective: To determine the associations among themes, accuracy of information, and user engagement of eating disorder content on a short video-sharing social media platform. Design, Setting, and Participants: This qualitative study included a thematic analysis of a sample of 200 TikTok videos, as well as user engagement metrics and content creator characteristics, between February and June 2022. Data were analyzed from March to June 2022. Main Outcomes and Measures: Content themes, accuracy of information, user engagement, and the associations among these factors were identified in a sample of eating disorder videos on a social media platform. Data were analyzed with Pearson χ2, analysis of variance, linear regression, and random permutation tests. Results: Among the 200 videos assessed, 124 (62.0%) covered prorecovery content, 59 (29.5%) included pro-eating disorder content, and 17 (8.5%) contained anti-eating disorder content. Thematic analysis revealed 4 high-level themes: (1) encouraging the development or sustainment of eating disorders, (2) sharing physical or emotional experiences with eating disorders, (3) sharing narratives of recovery, and (4) social support. While the results of Pearson χ2 test indicated that videos in the prorecovery domain contained more accurate content than videos categorized in the pro-eating disorder and anti-eating disorder domains (χ24 = 157.92; P < .001), the results of analysis of variance demonstrated that there was no significant difference in user engagement between informative and misleading content (likes: F = 0.110; P = .95; comments: F = 2.031; P = .13; views: F = 0.534; P = .59; shares: F = 0.691; P = .50). Results of the 10 000 random permutation tests, in which all P values were between .40 and .60 regardless of the distances, suggested that there was no significant difference in user engagement among the 3 domains. Conclusions and Relevance: This mixed-methods qualitative analysis of misleading eating disorder information on social media found that pro-eating disorder and prorecovery communities were prevalent. However, social media users in the prorecovery community created more informative than misleading content. Furthermore, the study found no significant difference between users' engagement with accurate vs misleading videos, which may suggest that false information alone does not influence the virality of videos.
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Registered trials
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.