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KMID : 1002520210150010065
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Korean Journal of Health Service Management
2021 Volume.15 No. 1 p.65 ~ p.82
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Analysis of Online News Articles on Medical Ethics Using Topic Modeling
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Cho Kyoung-Won
Sohn Sue-Kyung
Kim Seon-Nyeo
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Abstract
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Objectives: In this paper, we analyzed online articles related to “medical ethics” using text mining techniques to identify the predominant topics and trends of these online articles.
Method: Online news articles from 1966 to 2018 were collected from three newspapers’ websites, and a total of 2,336 articles were used for analysis. A python-based web scraping program was used to collect news articles, and topic modeling techniques based on the (LDA) algorithm were used for data analysis.
Results: For the entire period, topics on ethics and law accounted for more than half of the total. When categorized by period, a high percentage was occupied by biotechnology until 2003, euthanasia and hospice from 2004 to 2012, and the high-tech medical industry after 2013.
Conclusions: Our society has approached medical ethics issues related to technological development as applied ethics. From the stage of technological development, we must simultaneously consider legal and ethical issues.
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KEYWORD
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Text Mining, Topic Modeling, Medical Ethics
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