Quality evaluation of stroke-related information on TikTok: a cross-sectional study

Stroke is a leading cause of global mortality, making accurate health information vital. While TikTok is an influential source for health content, the quality of stroke-related information on the platform is unknown. This study evaluated the quality, reliability, and user engagement of the 100 most-liked stroke-related videos on TikTok. We conducted a cross-sectional analysis of videos from January 2025, assessing quality using validated instruments (e.g., GQS, mDISCERN) and categorizing creators. Healthcare professionals (HCPs) produced 34% of videos and achieved significantly higher quality scores (p < 0.001). Misinformation was present in 31% of videos, with significantly lower rates for HCPs (8.8%) compared to content creators (42.2%) and general users (42.9%). Only 23% of videos addressed stroke prevention. Importantly, we found no significant correlation between content quality and user engagement (r = -0.08, p = 0.43), revealing a concerning "engagement paradox". The quality of stroke information on TikTok is highly variable and disconnected from user engagement, posing a risk of misinformation spread. These findings underscore the urgent need for enhanced content moderation and greater engagement from healthcare professionals to disseminate reliable health information on social media.

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Publication Details

Journal
Scientific Reports
Published
2025-12-12
DOI
https://doi.org/10.1038/s41598-025-31464-6
Citations
1
Primary Topic
Social Media in Health Education
Type
article
Field-Weighted Citation Impact
2.17
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article

Quality evaluation of stroke-related information on TikTok: a cross-sectional study

Bo Zhou, Zhaowei Wang, Chengwu Hu, Meiping Wan
1 citations
Scientific Reports
Social Media in Health Education
2.17
article

Quality evaluation of stroke-related information on TikTok: a cross-sectional study

Bo Zhou, Zhaowei Wang, Chengwu Hu, Meiping Wan
article en
1 citations

Abstract

Stroke is a leading cause of global mortality, making accurate health information vital. While TikTok is an influential source for health content, the quality of stroke-related information on the platform is unknown. This study evaluated the quality, reliability, and user engagement of the 100 most-liked stroke-related videos on TikTok. We conducted a cross-sectional analysis of videos from January 2025, assessing quality using validated instruments (e.g., GQS, mDISCERN) and categorizing creators. Healthcare professionals (HCPs) produced 34% of videos and achieved significantly higher quality scores (p < 0.001). Misinformation was present in 31% of videos, with significantly lower rates for HCPs (8.8%) compared to content creators (42.2%) and general users (42.9%). Only 23% of videos addressed stroke prevention. Importantly, we found no significant correlation between content quality and user engagement (r = -0.08, p = 0.43), revealing a concerning "engagement paradox". The quality of stroke information on TikTok is highly variable and disconnected from user engagement, posing a risk of misinformation spread. These findings underscore the urgent need for enhanced content moderation and greater engagement from healthcare professionals to disseminate reliable health information on social media.

Scientific ReportsVol. 16(1)
Qianjiang Central Hospital (CN)
Openalex Percentile: Top 10%
Social Media in Health Education
2.17
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Quality evaluation of stroke-related information on TikTok: a cross-sectional study — Bo Zhou, Zhaowei Wang, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS