How Users Identify Health Misinformation in Short Videos: Study Reveals Three Key Pathways

Short-video platforms have emerged as critical channels for public health information, with over 1.07 billion Chinese users alone accessing health content through services like TikTok, YouTube Shorts, and Douyin. Yet these platforms’ low barriers to content creation and the rise of AI-generated material have accelerated the spread of health misinformation, posing significant risks to public health.

A groundbreaking study from researchers at Beijing University of Chinese Medicine has uncovered how users identify health misinformation in short videos, revealing three distinct cognitive pathways that could inform targeted intervention strategies.

“The visual storytelling style, concise format, and personalized algorithm recommendations on these platforms reduce the cognitive effort needed to understand complex medical terminology,” says lead researcher Xing Zhai. “But this accessibility comes with risks, as inaccurate health claims can spread at unprecedented speed and scale.”

The research team employed a mixed-methods approach, combining in-depth interviews with 47 participants, questionnaire data from 279 respondents, and advanced statistical modeling to identify key factors affecting misinformation detection.

Three Dimensions of Misinformation Detection

The findings revealed that users’ ability to identify misleading health information is influenced by three key dimensions: information quality, user characteristics, and external environment.

Information quality emerged as particularly important, with content logic and information structure significantly enhancing users’ ability to spot misinformation. Interestingly, professionally polished narrative styles were found to potentially reduce vigilance, making users more susceptible to well-packaged but inaccurate information.

“Users evaluate the authenticity of health information primarily by assessing logical coherence,” explains researcher Rui Wang. “But highly stylized, professional-sounding presentations can actually lower users’ guard, making it harder for them to discern misinformation.”

Within user characteristics, cognitive level played a crucial role, with higher analytical capabilities directly correlating with better discernment. External factors such as likes, comments, and shares also significantly influenced judgment, highlighting the social nature of information evaluation on these platforms.

Three Distinct User Pathways

Perhaps the study’s most significant finding was the identification of three distinct pathways users follow when evaluating health content:

1. The Analytical Central Route: Used primarily by high-cognition users who engage in deep analysis, focusing on content logic, narrative expression, and information structure.

2. The Content-assisted Peripheral Route: Typical of low-cognition users who depend on superficial cues such as professional language or engagement metrics rather than evaluating the content’s logical coherence.

3. The Cognition-assisted Peripheral Route: Employed by medium-cognition users who possess some analytical capacity but still favor peripheral cues like presentation style and social validation.

“These results reveal the diversity of user information processing modes,” says researcher Huanqing Yang. “Different users follow fundamentally different paths when determining what health information to trust.”

Implications for Misinformation Governance

Based on these findings, the researchers developed a multi-level governance framework addressing health misinformation at micro (user), meso (platform), and macro (policy) levels.

At the user level, the study recommends differentiated approaches: providing powerful analytical tools for high-cognition users, personalized education for medium-cognition users, and simplified credibility indicators (like color-coded labels) for low-cognition users.

For platforms, the researchers suggest implementing advanced algorithms to detect logical inconsistencies and evidence issues in health content, while optimizing comment sections to prioritize rational discussion and expert contributions.

At the policy level, the study calls for explicit industry standards for health-related short videos, stronger accountability mechanisms, and collaborative monitoring systems involving health authorities, regulators, industry associations, and platforms.

“Effective governance must move beyond single-dimensional limitations and establish a multi-dimensional collaborative model,” emphasizes Yiyi Wang, a co-author of the study. “We need coordinated efforts at all levels to address this growing challenge.”

The research comes at a critical time as short-video platforms continue to gain prominence as health information sources, with the COVID-19 pandemic having highlighted both the potential and risks of digital health communication.

While the study focused on the Chinese context, its frameworks and findings offer valuable insights for addressing health misinformation globally, especially in regions where short-form video has become a dominant medium for information consumption.