This paper is in the following e-collection/theme issue:

Early Results in Infodemiology and Infoveillance (108) Cross-Sectional Studies in Public Health (451) Stroke (254) Information Quality in Digital Media (411) Infodemiology and Infoveillance (1580) Machine Learning (2166) Formative Evaluation of Digital Health Interventions (3347)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80458, first published .
Quality Analysis of Stroke-Related Videos on Video Platforms: Cross-Sectional Study

Quality Analysis of Stroke-Related Videos on Video Platforms: Cross-Sectional Study

Quality Analysis of Stroke-Related Videos on Video Platforms: Cross-Sectional Study

Authors of this article:

Shao-Jie Nie1 Author Orcid Image ;   Shuai-Nan Ning2, 3 Author Orcid Image ;   Qi-Chao Ding4 Author Orcid Image ;   Jie Hou5 Author Orcid Image ;   Yue-Yang Luo6 Author Orcid Image ;   Hai-Yang Wang3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Shen N, Xu C, Yang Y, Zhang D. Evaluating the quality and reliability of Kawasaki disease–related content on TikTok and Bilibili: a cross-sectional study. Frontiers in Public Health 2026;13 View
  2. Hang Y, Hsu H, Lu M, Bai L, Qian J. The quality and reliability of short videos about uremia on Bilibili and TikTok in China: A cross sectional study. Medicine 2026;105(6):e47543 View