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March 14, 2026Frontiers in Public Health2 citationsOpen Access

A cross-cultural comparison of educational video quality on college students’ anxiety and depression: a cross-sectional content analysis of YouTube and Bilibili

JXJianbo XuQHQiaoli HeJCJing Chen

Key Points

  • To compare the quality of educational videos about anxiety and depression among university students on YouTube and Bilibili.
  • Searched YouTube and Bilibili for videos using English and Chinese keywords before November 2025.
  • Collected the first 100 videos from each platform based on default ranking.
  • Evaluated remaining videos using VIQI, GQS, and mDISCERN scales in a double-blind manner.
  • Analyzed platform differences with non-parametric tests and correlation analyses.
  • Final sample included 80 YouTube and 77 Bilibili videos.
  • Bilibili had higher median views, likes, and comments compared to YouTube (p < 0.05).
  • Verified accounts contributed more content on YouTube (43.75%) than Bilibili (28.57%).
  • YouTube videos had better overall scores on VIQI, GQS, and mDISCERN (p < 0.01).
  • In Bilibili, user engagement correlated with video quality, yet absolute quality scores remained low.

Abstract

Objective To systematically compare the quality of educational videos about anxiety and depression among university students on YouTube and Bilibili, and to provide evidence-based guidance for cross-cultural digital mental-health education. Methods Before 20 November 2025, we searched YouTube and Bilibili with English and Chinese keywords and collected the first 100 videos returned by default ranking on each platform. After applying inclusion and exclusion criteria, the remaining videos were evaluated by a third assessor in a double-blind manner using the Video Information and Quality Index (VIQI), the Global Quality Score(GQS)and the modified DISCERN (mDISCERN) scales to assess scientific accuracy, safety and educational value. Platform differences were analyzed with non-parametric tests and correlation analyses. Results The final sample comprised 80 YouTube and 77 Bilibili videos. Median views, likes, and comments were markedly higher on Bilibili ( p 0.05). Verified accounts supplied 43.75% of YouTube content but only 28.57% of Bilibili content; licensed mental-health professionals appeared in fewer than 6% of videos on either platform. YouTube favoured television-style or documentary formats, whereas Bilibili relied heavily on single-speaker narratives and animations. YouTube outperformed Bilibili on overall VIQI, GQS, and mDISCERN scores ( p 0.01). On Bilibili, high user engagement correlated moderately to strongly with quality, yet absolute quality scores remained low. Conclusion Platform architecture, not popularity, drives content quality. YouTube’s longer, institution-produced videos set the benchmark, whereas Bilibili trades scientific rigor for real-time chat and high engagement. Both sites remain short of licensed professionals. To prevent digital platforms from amplifying student anxiety, we recommend (a) embedding a quality-weighted algorithmic boost and (b) a sustained “verified expert + student co-creation” pipeline that disseminates evidence-based content at scale.

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Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/69b4faf0b39f7826a300b9cfhttps://doi.org/10.3389/fpubh.2026.1783552
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