ArticleFrontiers in public health2026
Assessing the scientific quality of radiotherapy popularization videos on BiliBili and TikTok: a cross-sectional study.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Evaluating the quality and reliability of rotator cuff injury related videos on Bilibili and TikTok: A cross-sectional analysis.Medicine · 2026Article
- Evaluating the quality and reliability of radiation dermatitis related videos on Douyin and Bilibili: a cross-sectional analysis.Frontiers in public health · 2026Article
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Authors and funding
4 authors.
Funding
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Abstract
Background: With the proliferation of short video platforms such as BiliBili and TikTok, public reliance on these platforms for medical information has increased substantially. However, the absence of standardized content regulation raises serious concerns about misinformation, oversimplification, and variable quality in health communication. Radiotherapy, a cornerstone of cancer treatment alongside surgery and chemotherapy, is particularly vulnerable to such information quality issues due to its technical complexity and limited public understanding. This necessitates systematic evaluation of the scientific accuracy and reliability of radiotherapy content on these platforms. Methods: In this cross-sectional study, the top 100 Chinese-language videos related to "" (radiotherapy) were collected from BiliBili and TikTok (total Results: Overall video quality and reliability were moderate (median GQS = 3; DISCERN = 3). BiliBili demonstrated higher DISCERN scores ( Conclusion: This study evaluated 200 radiotherapy videos on BiliBili and TikTok. BiliBili showed higher reliability (DISCERN), whereas TikTok excelled in terms of user engagement. Recommendations include optimizing scientific communication, platform quality-based algorithms prioritizing authoritative content, and enhancing public media literacy. The findings can guide improvements in digital medical education.
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