Quality vs. Reach in Health Short Videos: A Dual-Path Test of the Heuristic–Systematic Model

Shan Chen, Xi Xi Zhao, Emma Mohamad, Arina Anis Azlan

Abstract


Short-video platforms such as Douyin broaden access to health information but may reward visibility over verifiability. Guided by the heuristic–systematic model, this study asks whether the same content features that improve information quality also help videos reach larger audiences. We retrieved 300 diabetes-related videos from Douyin’s “For You” feed in three logged-out collection waves, and after removing ineligible and duplicate cases, analyzed 276 videos. Using a mDISCERN-based coding scheme,we assessed systematic content cues (e.g., whether videos provided evidence-based, balanced information and concrete self-management guidance) and heuristic account and production cues (e.g., provider type, on-screen text, graphics, and background music). We then modeled two outcomes: a quality index and a dissemination index based on likes, comments, and shares. Multiple regression with robust standard errors showed that systematic cues were strongly and positively associated with higher information quality, whereas heuristic cues had a smaller, marginally significant association. By contrast, neither systematic nor heuristic cues significantly predicted dissemination. Cross-equation tests indicated that the effects of both cue types differed significantly between the quality and dissemination models, pointing to a credibility–visibility gap: features that make diabetes videos more accurate and transparent do not automatically increase their early reach on Douyin.

 

Keywords: short video, health communication, mDISCERN, dissemination, HSM.

 

https://doi.org/10.17576/JKMJC-2025-4104-12


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References


Ahmer, A., Williams, A., Antonacci, G., Harris, M., & Irvine, R. (2025). Improving acceptability of mHealth apps—The use of the technology acceptance model to assess the acceptability of mHealth apps: Systematic review. PROSPERO 2024. https://www.crd.york.ac.uk/PROSPERO/view/CRD42024532974

Arikan, H., & Erol, E. (2025). Quality and reliability evaluation of YouTube® exercises content for temporomandibular disorders. BMC Oral Health, 25(1), 301.

Atkinson, T., Brown, E., Jones, G., Sage, K., & Wang, X. (2023). “I assumed it would be somebody who had a stroke that was doing this”: Views of stroke survivors, caregivers, and health professionals on tailoring a relaxation and mindfulness intervention. Healthcare, 11(3): 399.

Bird, Y. (2024). Rating anticipation and strategic downward selection in consumer‐generated rating systems: Evidence from a peer‐to‐peer platform market. Journal of Management Studies.

Burton, A. L. (2021). OLS (Linear) regression. In J. C. Barnes, & D. R. Forde (Eds.), The Encyclopedia of Research Methods in Criminology and Criminal Justice (Chap. 104, pp. 509-514). Wiley.

Cao, J., Zhang, F., Zhu, Z., & Xiong, W. (2025). Quality of cataract-related videos on TikTok and its influencing factors: A cross-sectional study. Digital Health, 11, 20552076251365086.

Chen, M., Lin, X., Zhou, R., & Fan, G. (2025). U-shaped association between social media usage frequency and suggestibility by internet health information in Chinese online population with pre-diabetes and diabetes: A cross-sectional study. BMC Public Health, 25(1), 1525.

Chen, X., & Liu, Y. (2024). Chinese libraries’ communication influence based on the Douyin communication index. Library Hi Tech.

Chu, X., Liu, Y., & Chen, X. (2021). The impacts of content and source factors on consumers’ liking toward advertisements: An HSM-based framework. 2020 International Conference on Applications and Techniques in Cyber Intelligence: Applications and Techniques in Cyber Intelligence (ATCI 2020) (pp. 106-112). Springer.

Doğan, G., & İpek, H. (2025). Evaluating the quality and reliability of YouTube videos on Hirschsprung's disease: A comprehensive analysis for patients, parents and health professionals. Pediatric Surgery International, 41(1), 173.

Ibrahim, N. (2021). Dutch disease effects in the Azerbaijan economy: Results of multivariate linear ordinary least squares (OLS) estimations. Экономический журнал Высшей школы экономики, 25(2), 309-346.

Jang, C. W., Bang, M., Park, J. H., & Cho, H. E. (2022a). Value of online videos as a shoulder injection training tool for physicians and usability of current video evaluation tools. International Journal of Environmental Research and Public Health, 19(22), 15177.

Jang, C. W., Kim, M., Kang, S. W., & Cho, H. E. (2022). Reliability, quality, and educational suitability of TikTok videos as a source of information about scoliosis exercises: A cross-sectional study. Healthcare, 10(9), 1622.

Li, Q., Cicirelli, F., Vinci, A., Guerrieri, A., Qi, W., & Fortino, G. (2025). Quadruped robots: Bridging mechanical design, control, and applications. Robotics, 14(5), 57.

Li, Z., Yan, C., Lyu, X., Li, F., & Zeng, R. (2024). Assessing quality and reliability of online videos on tachycardia: A YouTube video-based study. BMC Public Health, 24(1), 2620.

Liu, H., Peng, J., Li, L., Deng, A., Huang, X., Yin, G., ... & Liang, Y. (2024). Assessment of the reliability and quality of breast cancer related videos on TikTok and Bilibili: Cross-sectional study in China. Frontiers in Public Health, 11, 1296386.

Liu, Y., Chiu, D. K., & Ho, K. K. (2023). Short-form videos for public library marketing: Performance analytics of Douyin in China. Applied Sciences, 13(6), 3386.

Newton, I. H., Hasan, M. H., Razzaque, S., & Roy, S. K. (2024). Assessment of climate-induced rice yield using ordinary least squares (OLS) regression analysis: A case study from coastal context. Earth Systems and Environment, 8(4), 1437-1451.

Nwangburuka, C., Ijomah, M. A., & Nwakuya, M. T. (2023). Heteroscedasticity of unknown form: A comparison of five heteroscedasticity-consistent covariance matrix (hccm) estimators. Global Journal of Pure and Applied Sciences, 29(1), 83-90.

Pan, C., & Chi, R. (2020). Analysis and research on operation of Tik Tok accounts of Chinese airlines. 2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT) (pp. 936-939). IEEE.

Şahin, H., & Ay, B. K. (2025). YouTube as a source of information on pulmonary rehabilitation for COPD patients. Duzce Medical Journal.

Shin, D., Zaid, B., Biocca, F., & Rasul, A. (2022). In platforms we trust? Unlocking the black-box of news algorithms through interpretable AI. Journal of Broadcasting & Electronic Media, 66(2), 235-256.

Solomos, K., Kristoff, J., Kanich, C., & Polakis, J. (2021). Tales of favicons and caches: Persistent tracking in modern browsers. Network and Distributed System Security Symposium.

Song, G., Wang, Y., Chen, X., Hu, H., & Liu, F. (2024). Evaluating user engagement in online news: A deep learning approach based on attractiveness and multiple features. Systems, 12(8), 274.

Sun, F., Zheng, S., & Wu, J. (2023). Quality of information in gallstone disease videos on TikTok: Cross-sectional study. Journal of Medical Internet Research, 25, e39162.

Taştemur, M., & Çiçek, C. M. (2023). Quality analysis of YouTube videos in the management of hyperlipidemia in adults. Journal of Health Sciences and Medicine, 6(5), 1074-1079.

Tu, J., Zhang, C., Zhang, H., Liang, L., & He, J. (2025). Evaluating the reliability and quality of knee osteoarthritis educational content on TikTok and Bilibili: A cross-sectional content analysis. Digital Health, 11, 20552076251366390.

Vitale, S. G., Angioni, S., Saponara, S., Sicilia, G., Etrusco, A., D'Alterio, M. N., ... & Riemma, G. (2025). TikTok as a platform for hysteroscopy information: An analytical video‐based cross‐sectional study to assess quality, reliability, and accuracy. International Journal of Gynecology & Obstetrics, 168(1), 353-361.

Wang, H., Zhang, H., Cao, J., Zhang, F., & Xiong, W. (2025a). Quality and content evaluation of thyroid eye disease treatment information on TikTok and Bilibili. Scientific Reports, 15(1), 25134.

Wang, K., Tan, X., & Liu, P. (2025b). Quality and reliability of Chinese short videos on TikTok related to chronic renal failure: Cross-sectional study. Frontiers in Public Health, 13, 1652579.

Wu, J., Wu, G., Che, X., & Guo, J. (2025). The quality and reliability of short videos about hypertension on TikTok: A cross-sectional study. Scientific Reports, 15(1), 25042.

Xu, R., Ren, Y., Li, X., Su, L., & Su, J. (2025). The quality and reliability of short videos about premature ovarian failure on Bilibili and TikTok: Cross-sectional study. Digital Health, 11, 20552076251351077.

Yuan, Y., Li, Y., & Sun, H. (2024). Utilizing multidimensional features to predict the dissemination-force of emergency short videos. Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, 1-11.

Zhang, B., Kalampakorn, S., Powwattana, A., Sillabutra, J., & Liu, G. (2024). Oral diabetes medication videos on Douyin: Analysis of information quality and user comment attitudes. JMIR Formative Research, 8, e57720-e57720.

陈冬玲. (2020). 基于DCI指数的我国图书馆抖音平台传播策略研究. 图书馆研究与工作, 12, 35-39.

张菲菲. (2021). HPV健康短视频信息采纳与劝服效果实证研究.


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