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A Topic Modeling Analysis for Online News Article Comments on Nurses' Workplace Bullying

간호사의 직장 내 괴롭힘 관련 온라인 뉴스기사 댓글에 대한 토픽 모델링 분석

  • Kang, Jiyeon (College of Nursing, Dong-A University) ;
  • Kim, Soogyeong (Medical Intensive Care Unit, Kosin University Gospel Hospital) ;
  • Roh, Seungkook (Nuclear Policy Research Division, Korea Atomic Energy Research Institute)
  • 강지연 (동아대학교 간호학부) ;
  • 김수경 (고신대학교 복음병원 내과계 중환자실) ;
  • 노승국 (한국원자력연구원 기술정책연구실)
  • Received : 2019.03.20
  • Accepted : 2019.11.20
  • Published : 2019.12.31

Abstract

Purpose: This study aimed to explore public opinion on workplace bullying in the nursing field, by analyzing the keywords and topics of online news comments. Methods: This was a text-mining study that collected, processed, and analyzed text data. A total of 89,951 comments on 650 online news articles, reported between January 1, 2013 and July 31, 2018, were collected via web crawling. The collected unstructured text data were preprocessed and keyword analysis and topic modeling were performed using R programming. Results: The 10 most important keywords were "work" (37121.7), "hospital" (25286.0), "patients" (24600.8), "woman" (24015.6), "physician" (20840.6), "trouble" (18539.4), "time" (17896.3), "money" (16379.9), "new nurses" (14056.8), and "salary" (13084.1). The 22,572 preprocessed key words were categorized into four topics: "poor working environment", "culture among women", "unfair oppression", and "society-level solutions". Conclusion: Public interest in workplace bullying among nurses has continued to increase. The public agreed that negative work environment and nursing shortage could cause workplace bullying. They also considered nurse bullying as a problem that should be resolved at a societal level. It is necessary to conduct further research through gender discrimination perspectives on nurse workplace bullying and the social value of nursing work.

Keywords

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