Evidence map›Paper›PMID 42577664›Full record

ArticleFrontiers in digital health2026

The relationship between uploader identity and the quality and reliability of depression-related Chinese short videos on TikTok and Bilibili.

Xuechun Jiang, Furui Wang, Linglu Yu, Jinfeng Zhang

Abstract read
In one paragraph

Article in Frontiers in digital 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xuechun Jiang *Taicang Hospital of Nanjing University of Chinese Medicine (Taicang Hospital of Traditional Chinese Medicine), Taicang, China.
Furui Wang *Nanjing University of Chinese Medicine, Nanjing City, Jiangsu, China.
Linglu Yu *Nanjing University of Chinese Medicine, Nanjing City, Jiangsu, China.
Jinfeng ZhangDepartment of Neurology, Taicang Hospital of Nanjing University of Chinese Medicine (Taicang Hospital of Traditional Chinese Medicine), Taicang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The depression has become a major challenge to global public health. Short video platforms like TikTok and Bilibili have become important channels for disseminating information about depression, but the quality and reliability have not been evaluated. Objective: This study aims to evaluate the quality and credibility of depression-related short videos on TikTok and Bilibili, focusing on the differences in the identity of the uploader and its impact on the reliability of the content. Methods: Using the keyword "depression" to collect 150 videos on TikTok and Bilibili. This research institute involves Chinese videos and Chinese uploaders. Divided The identity of uploaders into depressed patients, mental health educators, mental health practitioners and non-professional sharers. Use the Global Quality Score, modified DISCERN and JAMA benchmarking to evaluate. Results: Videos published by mental health practitioners have the highest JAMA scores and user participation indicators. The mDISCERN reliability score of non-professional sharing is the lowest. The content published by depressed patients is reliable, but the coverage and interaction are limited. Conclusion: The depression information constitutes a multi-party ecosystem, but the credibility depends on the identity of the uploader. Content from professional sources is still the most reliable. The platform should strengthen the authentication mechanism. Users should critically evaluate the source of content cautiously.

Indexed as

bilibilidepressioninformation qualityshort videosTikTokupload identity

Identifiers

PMID42577664
PMCPMC13454896

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.