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KMID : 0922320220290030278
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Journal of Korean Academic Society of Home Care Nursing
2022 Volume.29 No. 3 p.278 ~ p.287
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Network Analysis of Keywords Related to Korean Nurse:Focusing on YouTube Video Titles
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Lee Dong-Kyun
Lee Young-Jin
Lee Bo-Gyeong
Kim Su-Jin
Park Hae-Jin
Bae Sun-Hyoung
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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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KEYWORD
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Big data, Network analysis, Nurses, Streaming video, YouTube
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FullTexts / Linksout information
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Listed journal information
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