Evaluation of Quality, Engagement, and Predictive Validity of Acne-Related Short Videos on Chinese Platforms Bilibili and TikTok: A Cross-Sectional Analysis of Content - Top-Institutions - MDSpire

Evaluation of Quality, Engagement, and Predictive Validity of Acne-Related Short Videos on Chinese Platforms Bilibili and TikTok: A Cross-Sectional Analysis of Content

  • By

  • Yuhan Xie

  • Qinxiao Li

  • Wenmin Deng

  • Yuxin Yan

  • Longmei Duan

  • Yuting Chen

  • Yusheng Wan

  • Kainian Han

  • Heni Ma

  • Yan Zheng

  • March 1, 2026

  • 0 min

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Top Institutions in Dermatology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Dermatology
    • Digital Health
    • Public Health

  • #2

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Dermatology
    • Health Informatics
    • Behavioral Medicine

  • #3

    University of California, San Francisco (UCSF) Medical Center
    University of California, San Francisco (UCSF) Medical Center

    San Francisco, CA

    Key Differentiators

    • Dermatology
    • Public Health
    • Digital Media Research

  • #4

    Peking University Health Science Center
    Peking University Health Science Center

    Beijing, Beijing

    Key Differentiators

    • Dermatology
    • Epidemiology
    • Health Communication

  • #5

    The University of Queensland
    The University of Queensland

    Brisbane, Queensland

    Key Differentiators

    • Dermatology
    • Digital Health
    • Public Health

Original Source(s)

Evaluation of Quality, Engagement, and Predictive Validity of Acne-Related Short Videos on Chinese Platforms Bilibili and TikTok: A Cross-Sectional Analysis of Content

  • by Yuhan Xie, Qinxiao Li, Wenmin Deng, Yuxin Yan, Longmei Duan, Yuting Chen, Yusheng Wan, Kainian Han, Heni Ma, Yan Zheng

  • March 1, 2026

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