Information quality assessment and user engagement prediction of short videos about diabetic kidney disease on TikTok and bilibili.

ABSTRACT: With the growing availability of short video platforms such as TikTok and Bilibili, patients with diabetic kidney disease (DKD) are increasingly seeking health information through these channels. However, the quality and user engagement of DKD-related content on these platforms have not been systematically evaluated. This exploratory cross-sectional study assessed the quality and reliability of DKD-related short videos and examined predictors of user engagement. On April 4, 2025, the top 100 DKD-related videos were collected from each platform. Content quality and reliability were assessed using the Global Quality Score (GQS), the modified DISCERN (mDISCERN), and the Medical Quality Video Evaluation Tool (MQ-VET). An eXtreme Gradient Boosting (XGBoost) model was employed to predict the num

SUBMITTER: Lin S 

PROVIDER: S-EPMC12698846 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature