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이동균 ( Lee Dong-Kyun ) - Ajou University College of Nursing
이영진 ( Lee Young-Jin ) - Ajou University College of Nursing
이보경 ( Lee Bo-Gyeong ) - Ajou University College of Nursing
김수진 ( Kim Su-Jin ) - Ajou University College of Nursing
박해진 ( Park Hae-Jin ) - Ajou University College of Nursing
배선형 ( Bae Sun-Hyoung ) - Ajou University College of Nursing
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Abstract
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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.
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KeyWords
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빅데이터, 네트워크 분석, 간호사, 스트리밍 영상, 유튜브
Big data, Network analysis, Nurses, Streaming video, YouTube
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원문 및 링크아웃 정보
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등재저널 정보
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