토픽 모델링을 이용한 자살 뉴스 기사의 댓글 내용분석: 유명인 자살과 일반인 자살을 바라보는 인식과 태도 비교
Analysis of User’s Comments of Online Suicide-related News Reporting Using Topic Modeling
- 주제(키워드) Suicide , User Comments , Topic Modeling , Social Perception toward Suicide , Social Attitudes toward Suicide , 자살 , 뉴스 댓글 , 토픽 모델링 , 자살 인식 , 자살 태도
- 주제(기타) 사회과학일반
- 설명문(URI) https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002736431
- 관리정보기술 faculty
- 등재 KCI등재
- 발행기관 한국보건사회연구원
- 발행년도 2021
- URI http://www.dcollection.net/handler/ewha/000000182674
- 본문언어 한국어
- Published As http://dx.doi.org/10.15709/hswr.2021.41.2.222
초록/요약
This study explored social perceptions of suicide by analyzing the keywords and topics of online news comments. A total of 350,533 comments on 4,189 online news articles were collected via web crawling. The collected unstructured text data were then preprocessed before performing keyword analysis and topic modeling using Python programming. The collected comments were divided into two groups: comments on celebrity suicide news articles and comments on general suicide news articles. Then, topic modeling was performed by applying BTM analysis method. The comments about celebrity suicide were categorized into three topics: “pity towards a celebrity who committed suicide,” “awareness of the cause of a celebrity’s suicide,” and “attitude toward a politician’s suicide.” The comments about general suicide were classified into five topics: “ambivalent attitude toward suicide and compassion toward those bereaved by suicide,” “occupation with a high suicide rate,” “the cause of suicide and the need for policy support,” “the connection between suicide events and social issues,” and “raising doubts about suicide incidents.” Also discussed were the associated practical implications and theoretical contributions.
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