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  • KOREAN
  • P-ISSN2951-0333
  • E-ISSN2951-0597

Korean-Language YouTube Content on Obesity and Its Clinical Implications

Archives of Obesity and Metabolism / Archives of Obesity and Metabolism, (P)2951-0333; (E)2951-0597
2025, v.4 no.2, pp.70-81
https://doi.org/10.23137/AOM25.04.OA0004
Hana Moon (Department of Family Medicine, Daegu Catholic University School of Medicine, Daegu, Korea)
Yoon Jeong Cho (Department of Family Medicine, Daegu Catholic University School of Medicine, Daegu, Korea)

Abstract

Background: Obesity is a global public health challenge, and YouTube has emerged as a primary source of health information. To develop effective health communication strategies, researchers must understand the relationship between content topics and user engagement. However, systematic analyses of obesity-related Koreanlanguage YouTube content are limited. Methods: We collected Korean-language YouTube videos uploaded between January 1, 2020, and September 30, 2025, using obesity-related keywords. We performed Latent Dirichlet Allocation (LDA)-based topic modeling on video subtitles. We compared user engagement metrics (exposure velocity, engagement rate, interaction velocity, and popularity index) across six uploader types: individual creators, media, hospitals, medical professionals, government/public institutions, and academic organizations. Results: Of the 2,798 videos identified, those by individual creators were the most prevalent (43.4%). User engagement metrics differed significantly across uploader types (P<0.001). Individual creators led in exposure velocity (10.91 views/day), whereas hospitals exhibited the highest engagement rate (1.8%). LDA modeling identified 11 topics, categorized broadly into medical treatment (49.8%) and lifestyle management (34.3%). Topic distribution differed significantly across uploader types (P<0.001); specifically, individual creators emphasized exercise and diet (29.0%), whereas hospitals concentrated on bariatric surgery (43.7%). Practical topics, such as abdominal obesity management (exposure velocity: 111.99 views/day) and home training exercises (exposure velocity: 27.54 views/day), elicited substantially higher user engagement than did specialized medical topics (P<0.001). Conclusion: User engagement and topic distribution in obesity-related YouTube content differ by uploader type. Individual creators drive faster dissemination, and practical, action-oriented topics disseminate more rapidly than specialized medical topics.

keywords
Obesity, Social media, Infodemiology, Natural language processing, Data mining
Received
2025-11-20
Revised
2025-12-02
Accepted
2025-12-07
Published
2025-12-31

Archives of Obesity and Metabolism