Cross-Platform Analysis of Atrial Fibrillation Scientific Videos: Using Composite Index and a Basic Assessment Scale

Chong Luo¹Xiaoli Qin¹Xiaoyu Xie²Jie Gao³Yuwei Wu⁴Weitao Liang^1*Zhong Wu^1*

• ¹Department of Cardiovascular surgery, West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
• ²Department of Anesthesia, West China Hospital, Sichuan University, Chengdu, China
• ³West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
• ⁴West China School of Public Health, Sichuan University, Chengdu, Sichuan Province, China

Background: Currently, video platforms were filled with many low-quality, uncensored scientific videos, and patients who utilize the Internet to gain knowledge about specific diseases are vulnerable to being misled and possibly delaying treatment as a result. Therefore, a large sample survey on the content quality and popularity of online scientific videos was of great significance for future targeted reforms.Objective: This study utilized normalization data analysis methods and a basic assessment scale, providing a new aspect for future research across multiple platforms with large sample sizes and for the development of video content quality assessment scales.This cross-sectional study analyzed a sample of 331 videos retrieved from YouTube, BiliBili, TikTok, and Douyin on June 13, 2024. In the analysis of atrial fibrillation scientific videos across four platforms, comprehensive metrics and a basic scoring scale revealed associations between platforms, creators, and the popularity and content quality of the videos. Data analysis employed principal component analysis, normalization processing, non-parametric tests, paired t-tests, and negative binomial regression.Results: Analysis of the user engagement data using a composite index revealed a significant difference in the popularity of videos from publishers with a medical background (z = -4.285, p < .001), no findings were found among video platforms, however, except for the Bilibili. For content quality, while the difference in the total number of videos between the two groups was almost 2-fold (229:102), the difference in qualified videos was 1.47-fold (47:32), a ratio that was even more unbalanced among the top 30% of videos with the most popularity. Notably, the overall content quality of videos from publishers without a medical background was also significantly higher (z=-2.299, p = .02).This analysis of atrial fibrillation information on multiple social media platforms found that people prefer videos from MB. However, it appeared that these publishers did not sufficiently create high-quality, suitable videos for the public, and the platforms seemed to lack a rigorous censorship system and policy support for high-quality content. Moreover, the normalized data processing method and the basic assessment scale that we attempted to use in this study provided new ideas for future large-sample surveys and content quality review.