Literature DB >> 31932568

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

Jiyeon Kang1, Soogyeong Kim2, Seungkook Roh3.   

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.
© 2019 Korean Society of Nursing Science.

Entities:  

Keywords:  Bullying; Data Mining; Nurses; Sexism; Workplace

Mesh:

Year:  2019        PMID: 31932568     DOI: 10.4040/jkan.2019.49.6.736

Source DB:  PubMed          Journal:  J Korean Acad Nurs        ISSN: 2005-3673            Impact factor:   0.984


  12 in total

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Journal:  Nurs Econ       Date:  2012 Jan-Feb       Impact factor: 1.085

6.  Influencing Factors and Consequences of Workplace Bullying among Nurses: A Structural Equation Modeling.

Authors:  Seonyoung Yun; Jiyeon Kang
Journal:  Asian Nurs Res (Korean Soc Nurs Sci)       Date:  2018-02-07       Impact factor: 2.085

7.  Further challenges to medical dominance? The case of nurse and pharmacist supplementary prescribing.

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8.  [Nurses' experience of incivility in general hospitals].

Authors:  Se Young Kim; Kwang-Ok Park; Jong Kyung Kim
Journal:  J Korean Acad Nurs       Date:  2013-08       Impact factor: 0.984

9.  Relationship between Organizational Culture and Workplace Bullying among Korean Nurses.

Authors:  Yuseon An; Jiyeon Kang
Journal:  Asian Nurs Res (Korean Soc Nurs Sci)       Date:  2016-07-21       Impact factor: 2.085

10.  [A Grounded Theory Approach on Nurses' Experience with Workplace Bullying].

Authors:  Jiyeon Kang; Seonyoung Yun
Journal:  J Korean Acad Nurs       Date:  2016-04       Impact factor: 0.984

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  8 in total

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Journal:  Front Psychol       Date:  2020-11-23

5.  Analysis of the supportive care needs of the parents of preterm children in South Korea using big data text-mining: Topic modeling.

Authors:  Ji Hyeon Park; Hanna Lee; Haeryun Cho
Journal:  Child Health Nurs Res       Date:  2021-01-31

6.  Comparison of the Erectile Dysfunction Drugs Sildenafil and Tadalafil Using Patient Medication Reviews: Topic Modeling Study.

Authors:  Maryanne Kim; Youran Noh; Akihiko Yamada; Song Hee Hong
Journal:  JMIR Med Inform       Date:  2022-02-28

7.  Empirical research of emerging trends and patterns across the flipped classroom studies using topic modeling.

Authors:  Ozcan Ozyurt
Journal:  Educ Inf Technol (Dordr)       Date:  2022-10-15

8.  The Experience of Clinical Nurses after Korea's Enactment of Workplace Anti-Bullying Legislation: A Phenomenological Study.

Authors:  Hee-Sun Kim; In-Ok Sim
Journal:  Int J Environ Res Public Health       Date:  2021-05-26       Impact factor: 3.390

  8 in total

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