Related Experiment Video
Updated: Jan 20, 2026
Robotics in Surgery: A Modular Robotic Platform Driven Gastric Wedge Resection
Published on: February 7, 2025
Do likes reflect quality? Engagement metrics and information reliability of robotic surgery short videos
Haoran Dai1,2, Jingyang Liu1,2, Yuan Chen1,2
1Department of Orthopedics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, No.300 Shouchun Road, Luyang District, Hefei, Anhui Province, China.
Background:
Despite the rapid rise of short-video platforms as health information sources, the informational quality of robotic-surgery videos-an area requiring precise clinical explanation-remains insufficiently studied.
Objective:
To compare the quality and reliability of robotic-surgery videos on TikTok and Bilibili and determine how platform features and uploader identity shape content quality.
Methods:
We conducted a cross-sectional analysis of 200 videos (100 per platform) scored using the Global Quality Score (GQS) and modified DISCERN (mDISCERN). Videos were coded by uploader type and theme, and group differences and predictors were examined with nonparametric tests and multivariable regression.
Results:
TikTok videos drew more engagement, but Bilibili posts were longer and scored higher on GQS and mDISCERN. Professional uploaders produced the most reliable content. Engagement metrics correlated with each other yet did not predict quality in regression.
Conclusions:
On short-video platforms, visibility and scientific accuracy diverge-highlighting the need for professional involvement, quality-sensitive governance, and stronger public digital health literacy.
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