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

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-10-28
DOI
https://doi.org/10.1038/s41598-025-21535-z
Citations
6
Primary Topic
Health Literacy and Information Accessibility
Type
article
Field-Weighted Citation Impact
16.89
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zhuoxin Li, Baolu Zhang, Kairou Zhang, Yuwei Lin et al.
6 citations
Scientific Reports
Health Literacy and Information Accessibility
16.89
article

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

Zhuoxin Li, Baolu Zhang, Kairou Zhang, Yuwei Lin, Ruqi Huang, Gang Liu, Yanxia Guo
article en
6 citations

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.

Scientific ReportsVol. 15(1)
Southwest Medical University (CN), Affiliated Hospital of Southwest Medical University (CN), Guiyang University (CN), Jiangsu Food and Pharmaceutical Science College (CN)
Openalex Percentile: Top 1%
Health Literacy and Information Accessibility
16.89
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.