고독사에 관한 언론보도기사의 텍스트네트워크 분석 및 토픽모델링

• 영문명: Text Network Analysis and Topic Modeling of News Articles on Lonely Death
• 발행기관: 한국농촌간호학회
• 저자명: 김춘미 최승범 김은만
• 간행물 정보: 『한국농촌간호학회지』제18권 제2호, 113~124쪽, 전체 12쪽
• 주제분류: 의약학 > 간호학
• 파일형태: PDF
• 발행일자: 2023.12.31

국문 초록

Purpose: The number of households vulnerable to isolation increases rapidly as social ties decrease, raising concerns about the associated increase in lonely deaths. This study aimed to identify issues related to lonely deaths by analyzing South Korean news articles; and to provide evidence for their use in preventing and managing lonely deaths via community nursing. Methods: This exploratory study analyzed the structure and trends of meaning of lonely deaths by identifying the association between keywords in news articles and lonely deaths. In this study, we searched for all news articles on lonely deaths, covering the period from January 1, 2010, to May 31, 2023. Data preprocessing and purification were conducted, followed by top-keyword extraction, keyword network analysis and topic modeling. The retrieved articles were analyzed using R and Python software. Results: Four main topics were identified: “discovering and responding to lonely death cases”, “lonely deaths ending in lonely funerals”, “supportive policies to prevent lonely deaths among of older adults”, and “local government activities to prevent lonely deaths and support vulnerable populations.” Conclusion: Based on these findings, it can be concluded that lonely death is a complex social phenomenon that can be prevented if society shows concern and care. Education related to lonely deaths should be included in nursing curricula for concrete action plans and professional development.

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Death Social network analysis Newspaper article