ArticleBMC public health2026
Evaluation of the quality and reliability of infertility information on Chinese social media platforms Bilibili and TikTok : a cross-sectional study.
Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Women's Lived Experiences of Decisional Conflict and Support Needs During First-Time Assisted Reproductive Technology Treatment: A Descriptive Phenomenological Study in China.International journal of women's health · 2026Article
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4 authors.
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Abstract
backgroundInfertility has become a major global health issue, affecting approximately one in six couples worldwide; this problem is particularly pronounced in China. With the advent of the digital age, an increasing number of people struggling with infertility are turning to social media platforms for health information. However, the quality and reliability of such video content remain unclear. Therefore, this study aims to assess the overall quality and reliability of infertility-related information on mainstream social media platforms in China.
methodThis study used the Chinese term "Infertility" as a search term to retrieve the top 100 videos on Bilibili and TikTok. Video quality was assessed using the DISCERN tool and the Global Quality Scale (GQS), and statistical analysis was conducted to explore the relationships among various variables.
resultsThis study ultimately included 163 videos in the analysis, comprising 72 videos from Bilibili and 91 from TikTok. The results showed that the average daily engagement metrics on Bilibili were significantly higher than those on TikTok (P < 0.05). The proportion of medical personnel on the TikTok platform was as high as 90.1%, significantly higher than the 27.8% on Bilibili (P < 0.001). Videos on the TikTok platform were more concentrated in the medium-quality category, while the Bilibili platform had a higher proportion of low-quality videos (GQS low quality: 41.7% vs. 21.1%, adjusted P = 0.024). Multivariate regression analysis showed that the DISCERN score was significantly positively correlated with the number of shares (β = 0.045, 95% CI: 0.002-0.088, P = 0.040). Both the number of likes and the number of comments were negatively correlated with video duration (β = -0.001, P = 0.040; β = -0.001, P = 0.022).
conclusionThe overall quality of videos on infertility-related topics on TikTok needs improvement. Bilibili has a significant gap in this content, suggesting that high-quality content creators-such as medical professionals-should not limit their science communication efforts to a single platform. Creators of science communication videos may consider adopting narrative techniques or focusing on specific topics for in-depth explanations to enhance the accessibility of their content.
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