ArticleFrontiers in public health2026
"Short" is not always "scientific": cross-sectional quality assessment and machine learning-based evaluation of weight management short videos on TikTok and Bilibili.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aimed to systematically evaluate and compare the content quality and reliability of weight management-related short videos on TikTok and Bilibili, identify key factors influencing video quality, and develop an automated quality prediction tool to support the construction of a healthier digital health communication ecosystem. Methods: A cross-sectional study design was adopted. The top 100 weight management-related videos ranked by overall relevance were collected from TikTok and Bilibili, respectively (total Results: Videos on Bilibili had significantly higher GQS scores than those on TikTok ( Conclusion: Videos published by Professional individuals possess greater academic value and practical significance. However, weight management information on short-video platforms exhibits a mismatch between popularity and quality. The automated evaluation model and online tool proposed in this study provide strong support for the public in identifying reliable scientific information and for regulatory authorities in developing intelligent governance systems.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.