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국내 간호사 관련 동영상 키워드의 네트워크 분석: 유튜브 동영상 제목을 중심으로

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

  • 이동균 (아주대학교 간호대학, 디케이메디인포) ;
  • 이영진 (아주대학교 간호대학.간호과학연구소 ) ;
  • 이보경 (아주대학교 간호대학, 신경옥요양센터) ;
  • 김수진 (아주대학교 간호대학, 용인세브란스병원) ;
  • 박해진 (아주대학교 간호대학, 동수원병원) ;
  • 배선형 (아주대학교 간호대학.간호과학연구소 )
  • 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)
  • 투고 : 2022.08.08
  • 심사 : 2022.11.30
  • 발행 : 2022.12.31

초록

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.

키워드

참고문헌

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