Scholarlink

<p>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 (<i>p</i> &lt; 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, <i>p</i> = 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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月12日

查看全文
  • Zhaowei Wang,
  • Chengwu Hu,
  • Bo Zhou,
  • Meiping Wan

摘要

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.