Quality and reliability of health information about altitude sickness on Douyin and Bilibili: a cross-sectional study

抖音和哔哩哔哩上高原反应健康信息的质量和可靠性:一项横断面研究

阅读:3

Abstract

BACKGROUND: Short video platforms are increasingly used for health information in China, yet the quality of user generated content on altitude sickness remains unexamined. This study evaluated the quality, reliability, and content characteristics of altitude sickness videos on Douyin and Bilibili. METHODS: A cross-sectional design was adopted. The Chinese search term "Altitude Sickness" was used to search on the Chinese short video platforms Douyin and Bilibili. The top 100 videos recommended by each platform were collected. Data on video publication, content, and characteristics were extracted. The Journal of the American Medical Association benchmark criteria (JAMA), modified DISCERN (mDISCERN), and Global Quality Score (GQS) tools were used to assess video reliability and quality. Statistical analysis involved descriptive and comparative methods to evaluate video characteristics and quality, as well as correlation analysis to examine their relationships. Analyses were conducted using SPSS 26.0, statistical significance was set at P < 0.05. RESULTS: A total of 161 videos (85 from Douyin, 76 from Bilibili) were ultimately included. The overall mean scores for the videos were 2.85 ± 0.75 for JAMA, 2.20 ± 0.79 for mDISCERN, and 2.57 ± 0.88 for GQS. The GQS score of videos from Bilibili was significantly higher than that from Douyin (P < 0.05). Videos published by professional institutions/individuals accounted for only 22.36%, but their content quality was significantly superior to that from non-professional institutions/individuals (P < 0.05). Correlation analysis showed that user interaction data (likes, comments) was negatively correlated with quality scores. CONCLUSION: The overall quality of altitude sickness videos on major Chinese short video platforms is suboptimal. Content from professional sources is significantly more reliable but remains a minority. Platform interaction metrics (such as likes and comments) do not constitute a reliable proxy for judging the scientific soundness of the content. The public should prioritize professionally sourced information, and platforms should enhance the visibility of evidence-based content.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。