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http://dx.doi.org/10.22705/jkashcn.2022.29.3.278

Network Analysis of Keywords Related to Korean Nurse: Focusing on YouTube Video Titles  

Lee, Dongkyun (College of Nursing, Ajou University, DKMediInfo)
Lee, Youngjin (College of Nursing.Research Institute of Nursing Science, Ajou University)
Lee, Bogyeong (College of Nursing, Ajou University, Shin Kyungok Nursing Center)
Kim, Sujin (College of Nursing, Ajou University, Yongin Severance Hospital)
Park, Haejin (College of Nursing, Ajou University, Dongsuwon General Hospital)
Bae, Sun Hyoung (College of Nursing.Research Institute of Nursing Science, Ajou University)
Publication Information
Journal of Korean Academic Society of Home Health Care Nursing / v.29, no.3, 2022 , pp. 278-287 More about this Journal
Abstract
Purpose: To analyze Korean nurse-related channels and video titles on YouTube, the world's largest online video sharing and social media platform, to clarify public opinion and image of nurses. We seek utilization strategies and measures through current status analysis. Methods: Data is collected by crawling video information related to Korean nurses, and correlation is analyzed with frequent word analysis and keyword network analysis. Results: Through the YouTube algorithm, 2,273 videos of 'Nurse' were analyzed in order of recent views, relevance, and rating, and 2,912 videos searched for with the keyword 'Nurse + Hospital, COVID-19, Awareness, University, National Examination' were analyzed. Numerous videos were uploaded, and nursing work that was uploaded in the form of a vlog recorded a high number of views. Conclusion: We could see if the YouTube video shows images of nurses. It has been confirmed that various information is being exchanged rather than information just for promotional purposes.
Keywords
Big data; Network analysis; Nurses; Streaming video; YouTube;
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Times Cited By KSCI : 7  (Citation Analysis)
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