Park Min Young, Jeong Seok Hee, Kim Hee Sun, Lee Eun Jee
Department of Nursing, Jeonbuk National University Hospital, Jeonju, Korea.
College of Nursing · Research Institute of Nursing Science, Jeonbuk National University, Jeonju, Korea.
J Korean Acad Nurs. 2022 Jun;52(3):291-307. doi: 10.4040/jkan.22002.
The aims of study were to identify the main keywords, the network structure, and the main topics of press articles related to nurses that have appeared in media reports.
Data were media articles related to the topic "nurse" reported in 16 central media within a one-year period spanning July 1, 2019 to June 30, 2020. Data were collected from the Big Kinds database. A total of 7,800 articles were searched, and 1,038 were used for the final analysis. Text network analysis and topic modeling were performed using NetMiner 4.4.
The number of media reports related to nurses increased by 3.86 times after the novel coronavirus (COVID-19) outbreak compared to prior. Pre- and post-COVID-19 network characteristics were density 0.002, 0.001; average degree 4.63, 4.92; and average distance 4.25, 4.01, respectively. Four topics were derived before and after the COVID-19 outbreak, respectively. Pre-COVID-19 example topics are "a nurse who committed suicide because she could not withstand the Taewoom at work" and "a nurse as a perpetrator of a newborn abuse case," while post-COVID-19 examples are "a nurse as a victim of COVID-19," "a nurse working with the support of the people," and "a nurse as a top contributor and a warrior to protect from COVID-19."
Topic modeling shows that topics become more positive after the COVID-19 outbreak. Individual nurses and nursing organizations should continuously monitor and conduct further research on nurses' image.
本研究旨在识别媒体报道中出现的与护士相关的新闻文章的主要关键词、网络结构和主要主题。
数据为2019年7月1日至2020年6月30日这一为期一年的时间段内16家中央媒体报道的与“护士”主题相关的媒体文章。数据从大韩数据库收集。共检索到7800篇文章，其中1038篇用于最终分析。使用NetMiner 4.4进行文本网络分析和主题建模。
新型冠状病毒（COVID-19）疫情爆发后，与护士相关的媒体报道数量相比之前增加了3.86倍。COVID-19疫情前后的网络特征分别为密度0.002、0.001；平均度4.63、4.92；平均距离4.25、4.01。COVID-19疫情爆发前后分别得出四个主题。COVID-19疫情前的示例主题有“一名护士因无法承受工作中的太晤士而自杀”和“一名护士作为新生儿虐待案件的肇事者”，而COVID-19疫情后的示例有“一名护士作为COVID-19的受害者”、“一名在民众支持下工作的护士”以及“一名作为抗击COVID-19的顶级贡献者和勇士的护士”。
主题建模表明，COVID-19疫情爆发后主题变得更加积极。个体护士和护理组织应持续监测并对护士形象进行进一步研究。
