Evidence map›Paper›PMID 41152378›Full record

ArticleScientific reports2025

BiliBili, Douyin and Xiaohongshu as health information platforms for stroke: evaluating information quality and content.

Kairou Zhang, Zhuoxin Li, Yashi Lin, Yanxia Guo, Ruiyu Huang, Gang Liu, Baolu Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

7 authors.

Kairou ZhangDepartment of Nursing, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Zhuoxin LiDepartment of Nursing, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Yashi LinDepartment of Nursing, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Yanxia GuoFaculty of Nursing and Midwifery, Jiangsu College of Nursing, Huaian, China.
Ruiyu HuangSchool of Continuing Education, Guiyang Healthcare Vocational University, Guiyang, China.
Gang LiuDepartment of Orthopedics and Center for Orthopedic Diseases Research, Affiliated Traditional Chinese Medicine Hospital ofSouthwest Medical University, Luzhouw, China. shoulderliugang@163.com.
Baolu ZhangSchool of Nursing, Southwest Medical University, Luzhou, China. baby670178@gmail.com.

Funding

Supported by the Sichuan Province University Student Innovation and Entrepreneurship Training Plan Project S202310632129
6 · The paper itself

Abstract

Stroke remains a significant global health concern. Despite numerous stroke-related videos on social media, research evaluating their information quality across platforms remains limited. This study compares information quality and content of stroke-related videos on BiliBili, Douyin and Xiaohongshu. This study analyzed 227 stroke-related videos across three platforms (58 from BiliBili, 88 from Douyin and 81 from Xiaohongshu). Information quality was assessed using adapted HONCode and PEMAT-A/V standards. Content analysis examined stroke aspects (definition, symptoms, etiology, assessment, treatment, outcome, complications, risk factors and prevention). Statistical analyses included Mann-Whitney U, Kruskal-Wallis and Spearman correlation analysis. Overall, videos showed moderate information quality (72.7% achieving medium HONCode levels). Compliance rates were 4.0% for Principle 4 (source reference) and 2.2% for Principle 5 (evidence for claims). Videos showed higher understandability (median 0.73; IQR 0.2) but suboptimal actionability (median 0.67; IQR 1.0). Content completeness was low (median 2.00, IQR 3.0), with treatment (63.0%) and symptoms (55.1%) mentioned most frequently and assessment (15.4%) and complications (15.0%) less frequently. Spearman's correlation analysis indicated that there were mostly no correlations between video information quality and user engagement (Likes, Collections, Comments, Shares) on the three platforms. Specifically, among the three platforms, Douyin had significantly higher information quality (P < 0.001), while Xiaohongshu showed lower understandability (P = 0.032) and content completeness (P < 0.001). Stroke videos' information quality on BiliBili, Douyin and Xiaohongshu was generally moderate, but commonly lacked evidence support, actionability and content completeness. Among these platforms, Douyin demonstrated relatively better performance, while Xiaohongshu showed poorer understandability and completeness. This study recommends that video publishers focus on enhancing evidence support and actionability, particularly regarding stroke assessment and complications, to help the public access more accurate and complete stroke information. For BiliBili and Xiaohongshu, increasing medical professional participation is recommended to improve information quality. Xiaohongshu needs to improve content understandability by using simpler and clearer language to explain stroke-related knowledge.

Indexed as

Information DisseminationSocial MediaStrokeHumansVideo RecordingBiliBiliContent completenessDouyinInformation qualityStrokeXiaohongshu

Identifiers

PMID41152378
PMCPMC12568935

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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 OpenQuestion graph.