Analysis of issues related to nursing law: Examination of news articles using topic modeling

被引:0
|
作者
Lee, Joohyun [1 ]
Chang, Hyoung Eun [2 ]
Cho, Jaehyuk [3 ]
Yoo, Seohyun [3 ]
Hyeon, Joonseo [4 ]
机构
[1] Kyung Hee Univ, Grad Sch Publ Policy & Civ Engagement, Seoul, South Korea
[2] Jeonbuk Natl Univ, Res Inst Nursing Sci, Coll Nursing, Jeonju, Jeonrabug Do, South Korea
[3] Jeonbuk Natl Univ, Dept Software Engn, Div Elect & Informat Engn, Jeonju, Jeonrabug Do, South Korea
[4] Jeonbuk Natl Univ, Dept Software Engn, Jeonju, Jeollabuk Do, South Korea
来源
PLOS ONE | 2024年 / 19卷 / 08期
关键词
NETWORK ANALYSIS; NURSES;
D O I
10.1371/journal.pone.0308065
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Purpose The objective of this study was to analyze proposed Korean nursing legislation as depicted in newspaper articles, to highlight issues related to the legislative process for this potential law, and to better understand social awareness regarding this matter.Methods The study focused on articles from 11 leading newspapers in Korea, published between February 2020 and August 2023, that pertained to nursing legislation. The articles were retrieved from the BigKinds database. Following text preprocessing, analytical methods including term frequency-inverse document frequency were employed, along with latent Dirichlet allocation (LDA), for word and topic modeling analysis. Additionally, LDA was applied across time periods to examine temporal changes in topics.Results Following preprocessing, a total of 7,967 words were extracted from the 991 articles selected for analysis. The primary themes identified in newspaper articles concerning the nursing legislation were organized into three main topics: 1) the necessity and impact of enactment of the nursing law, 2) the political context surrounding enactment of the law, and 3) the conflicts between and actions of healthcare organizations related to enactment of the law.Conclusions The findings confirmed that media coverage regarding the proposed nursing legislation primarily concentrated on the political and social conflicts associated with the law's passage, rather than its necessity and substance. More compelling evidence must be presented concerning the influence of the nursing workforce and the work environment of nurses on patient safety and health outcomes. Additionally, strategies should be devised to improve public comprehension of the nursing law's provisions.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Sentiment analysis of financial news articles using performance indicators
    Srikumar Krishnamoorthy
    Knowledge and Information Systems, 2018, 56 : 373 - 394
  • [32] Multifaceted Analysis of News Articles by Using Semantic Annotated Information
    Yoshioka, Masaharu
    Kando, Noriko
    PROCEEDINGS OF THE FIFTH WORKSHOP ON EXPLOITING SEMANTIC ANNOTATIONS IN INFORMATION RETRIEVAL, 2012, : 19 - +
  • [33] Sentiment analysis of financial news articles using performance indicators
    Krishnamoorthy, Srikumar
    KNOWLEDGE AND INFORMATION SYSTEMS, 2018, 56 (02) : 373 - 394
  • [34] Topic analysis of nursing research using co-word analysis
    Khasseh, Ali Akbar
    Amiri, Mohammad Reza
    Sadeghi, Amir
    IRANIAN JOURNAL OF NURSING AND MIDWIFERY RESEARCH, 2021, 26 (05) : 417 - 424
  • [35] Using Topic Modeling and Adversarial Neural Networks for Fake News Video Detection
    Choi, Hyewon
    Ko, Youngjoong
    PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021, 2021, : 2950 - 2954
  • [36] A Topic Modeling Analysis for Online News Article Comments on Nurses' Workplace Bullying
    Kang, Jiyeon
    Kim, Soogyeong
    Roh, Seungkook
    JOURNAL OF KOREAN ACADEMY OF NURSING, 2019, 49 (06) : 736 - 747
  • [37] Content analysis and topic correlation of financial news related to big data concept
    Teng, Yuanyang
    Wu, Xiaobo
    Li, Yicun
    2020 3RD INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY (CISAT) 2020, 2020, 1634
  • [38] Medication safety education in nursing research: Text network analysis and topic modeling
    Park, Jinkyung
    Han, A. Young
    NURSE EDUCATION TODAY, 2023, 121
  • [39] How Pandemic Spread in News: Text Analysis Using Topic Model
    Wang, Minghao
    Mengoni, Paolo
    2020 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY (WI-IAT 2020), 2020, : 764 - 770
  • [40] Sharing News Articles Using 140 Characters: A Diffusion Analysis on Twitter
    Bhattacharya, Devipsita
    Ram, Sudha
    2012 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM), 2012, : 966 - 971