Journal of thoracic disease · 2026
TikTok, Xiaohongshu, and Bilibili as sources of medical information on lung cancer: a multi-platform content evaluation.
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Ding Jian, Cheng Yikun, Guo Weizhen, Xue Qian, Yang Cheng, Li Zegeng
Аннотация
BACKGROUND: Lung cancer remains a major public health burden, and short-video platforms have become an important source of health information. This study aimed to evaluate the characteristics and information quality of lung cancer-related videos on TikTok, Xiaohongshu, and Bilibili.
METHODS: A cross-sectional observational study was conducted using lung cancer-related videos collected on December 25, 2025. "Lung cancer" was used as the search keyword on TikTok, Xiaohongshu, and Bilibili. After duplicates and irrelevant content were removed, 563 videos were analyzed. Video characteristics, uploader types, and content categories were recorded. Information quality and reliability were evaluated using the Global Quality Scale (GQS) and the Decision-making Information Support Criteria for Evaluating the Reliability of Non-randomized Studies (DISCERN) instrument by two independent reviewers. Multivariate ordinal logistic regression was used to examine the associations among uploader type, interaction metrics, video content, and video presentation format with video quality (GQS) and information reliability (DISCERN) separately.
RESULTS: Bilibili videos exhibited significantly higher user engagement metrics than TikTok and Xiaohongshu videos (all P<0.001). Regarding information quality, TikTok videos achieved significantly higher GQS scores than Xiaohongshu videos and higher DISCERN scores than both Xiaohongshu and Bilibili videos. Content produced by professional institutions and individuals scored significantly higher than that from non-professional sources. Videos focusing on lung cancer classification and disease mechanisms received the highest quality scores. A strong positive correlation was observed among popularity metrics. However, no significant correlation was observed between popularity indicators and quality scores across all three platforms. Ordinal logistic regression revealed that professional institution uploaders [odds ratio (OR) =5.33, P=0.03] and lung cancer classification content (OR =2.09, P=0.01) were independently associated with higher GQS scores. For DISCERN scores, professional individual uploaders (OR =8.81, P<0.001) and lecture-style presentations (OR =8.82, P=0.02) were significantly associated with higher scores.
CONCLUSIONS: Lung cancer-related short videos on Chinese platforms demonstrate high user engagement but considerable variability in information quality across platforms. Enhanced professional involvement, improved platform governance, and increased public critical literacy are urgently needed to optimize digital health communication for lung cancer prevention and control.
METHODS: A cross-sectional observational study was conducted using lung cancer-related videos collected on December 25, 2025. "Lung cancer" was used as the search keyword on TikTok, Xiaohongshu, and Bilibili. After duplicates and irrelevant content were removed, 563 videos were analyzed. Video characteristics, uploader types, and content categories were recorded. Information quality and reliability were evaluated using the Global Quality Scale (GQS) and the Decision-making Information Support Criteria for Evaluating the Reliability of Non-randomized Studies (DISCERN) instrument by two independent reviewers. Multivariate ordinal logistic regression was used to examine the associations among uploader type, interaction metrics, video content, and video presentation format with video quality (GQS) and information reliability (DISCERN) separately.
RESULTS: Bilibili videos exhibited significantly higher user engagement metrics than TikTok and Xiaohongshu videos (all P<0.001). Regarding information quality, TikTok videos achieved significantly higher GQS scores than Xiaohongshu videos and higher DISCERN scores than both Xiaohongshu and Bilibili videos. Content produced by professional institutions and individuals scored significantly higher than that from non-professional sources. Videos focusing on lung cancer classification and disease mechanisms received the highest quality scores. A strong positive correlation was observed among popularity metrics. However, no significant correlation was observed between popularity indicators and quality scores across all three platforms. Ordinal logistic regression revealed that professional institution uploaders [odds ratio (OR) =5.33, P=0.03] and lung cancer classification content (OR =2.09, P=0.01) were independently associated with higher GQS scores. For DISCERN scores, professional individual uploaders (OR =8.81, P<0.001) and lecture-style presentations (OR =8.82, P=0.02) were significantly associated with higher scores.
CONCLUSIONS: Lung cancer-related short videos on Chinese platforms demonstrate high user engagement but considerable variability in information quality across platforms. Enhanced professional involvement, improved platform governance, and increased public critical literacy are urgently needed to optimize digital health communication for lung cancer prevention and control.