Dataset for:The Quality-Engagement Alignment in Digital Psychiatry: A Comparative Analysis of Generalized Anxiety Disorder Information on Short-Form (TikTok) versus Long-Form (Bilibili) Video Platforms

This dataset contains the extracted data used in the study evaluating depression-related videos on TikTok (Douyin). The dataset includes video characteristics, publisher types, engagement metrics (likes, comments, shares, and collections), and quality evaluation scores assessed using the modified DISCERN (mDISCERN), JAMA benchmark criteria, and Global Quality Scale (GQS).Two independent reviewers evaluated the videos, and the dataset includes the scoring results used for statistical analysis. The data were used to analyze the quality, reliability, and educational value of depression-related short videos on TikTok.This dataset supports the findings reported in the corresponding research article.