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학술저널

유튜브 댓글 기반 토픽모델링을 활용한 일반인의 심폐소생술 인식 구조 분석

Analyzing Public Perceptions of Cardiopulmonary Resuscitation Using Topic Modeling of YouTube Comments

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Purpose: This study analyzed public perception of cardiopulmonary resuscitation (CPR) by examining comments posted on CPR-related YouTube videos. Methods: A total of 148 CPR-related YouTube videos uploaded between 2016 and 2025 were selected, and 66,356 comments posted on these videos were collected through web crawling. After preprocessing, key terms were identified through frequency analysis and term frequency-inverse document frequency (TF-IDF) analysis. A word co-occurrence network was constructed to calculate the degree, closeness, and betweenness centralities. To examine the latent structure of CPR perceptions, LDA-based topic modeling was performed and six final topics were derived. Results: LDA topic modeling identified six topics, which were labeled as follows: (1) gratitude and respect toward rescuers, (2) contingency and luck in life-saving situations, (3) importance of life-saving and the value of altruism, (4) gender-based public safety discourse, (5) social debate on sex crimes and legal responsibility, and (6) response to cardiac arrest and CPR education. Conclusion: To promote bystander CPR participation, it is essential to ensure legal and institutional protection, reduce concerns related to sexual accusations, establish CPR as a shared civic responsibility regardless of sex, and expand practical CPR education to strengthen confidence and decision-making in emergencies.

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