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토픽모델링과 의미연결망을 이용한 국내 언론의 마약 보도 주제와 경향 분석

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dc.contributor.author백혜진-
dc.contributor.author정유미-
dc.date.accessioned2024-12-16T01:00:34Z-
dc.date.available2024-12-16T01:00:34Z-
dc.date.issued2024-06-
dc.identifier.issn1226-072X-
dc.identifier.issn2671-4531-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/121315-
dc.description.abstract본 연구는 언론의 의제 설정과 프레이밍 기능을 고려하여 국내 언론이 마약류 유형(불법 마약, 향정신성의약품, 대마)에 따라 어떤 경향으로 보도해 왔는지 살펴보았다. 빅카인즈를 통해 2010년부터 49개의 언론사에서 보도된 신문기사(불법 마약 43,524개, 향정신성의약품 58,146개, 대마 22,242개)를 수집하여 토픽 모델링과 의미연결망 분석을 활용하여 검토하였다. 연구 결과, 언론 보도는 연예인이 연루된 마약 사건이 발생할 때마다 그 수가 증가하는 패턴을 보였고 마약류별로 추출된 토픽도 차이를 보였다. 또한, ‘치료’, ‘병원’ 등의 단어는 연결 중심성이 낮아 중독 및 치료에 대한 논의가 부족함을 알 수 있었다. 본 연구는 언론이 연예인 중심의 마약 사건을 주로 보도하는 일화적 프레임보다는 제도와 예방의 문제까지 다루는 주제적 프레임으로 접근할 필요가 있으며, 정부는 공급 통제 중심의 정책을 넘어 예방, 관리, 치료를 포괄하는 수요 통제 정책에도 집중해야 함을 제안하였다.-
dc.description.abstractTaking into account the news media’s agenda-setting and framing functions, this study examined the prevalent themes and topical focus of Korean news reports about drug-related issues. Using big data analysis techniques such as topic modeling and semantic network analysis, we reviewed a total of 124,969 articles provided by 49 media outlets from 2010 to the present. These articles included 43,524 on illegal drugs, 58,146 on psychotropic pharmaceuticals, and 23,050 on marijuana. Topic modeling results show that over the past 14 years, coverage of drug-related issues has tended to increase with each occurrence of a drug scandal involving celebrities. Different topics were extracted across types of drugs: international problems concerning illegal drugs, drug abuse, treatment and prevention for psychotropic pharmaceuticals, and legalization and industry for marijuana. Notably, semantic network analysis indicates that, even in news stories about psychotropic pharmaceuticals, keywords such as 'treatment' and 'hospital' had low centrality and relational significance. Such a trend suggests that news stories lack adequate discussion of addiction and treatment. Based on our findings, we argue that media coverage should shift from anecdotal frames, which focus mainly on individual drug incidents involving celebrities, to more comprehensive thematic frames that provide accurate information about drug use and address the systemic and preventive dimensions of drug-related issues. Furthermore, we propose that the government should devote efforts not only to supply-control policies that target and criminalize the illegal drug trade but also to demand-control policies that facilitate drug use prevention, management, and treatment.-
dc.format.extent21-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국보건사회연구원-
dc.title토픽모델링과 의미연결망을 이용한 국내 언론의 마약 보도 주제와 경향 분석-
dc.title.alternativeTopic Modeling and Semantic Network Analysis of Themes and Trends of News Reports on Drugs in South Korea-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.15709/hswr.2024.44.2.360-
dc.identifier.bibliographicCitation보건사회연구, v.44, no.2, pp 360 - 380-
dc.citation.title보건사회연구-
dc.citation.volume44-
dc.citation.number2-
dc.citation.startPage360-
dc.citation.endPage380-
dc.type.docType정기학술지(Article(Perspective Article포함))-
dc.identifier.kciidART003098875-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthor의제 설정-
dc.subject.keywordAuthor프레이밍-
dc.subject.keywordAuthor마약-
dc.subject.keywordAuthor언론 보도-
dc.subject.keywordAuthor토픽 모델링-
dc.subject.keywordAuthor의미연결망 분석-
dc.subject.keywordAuthorAgenda Setting-
dc.subject.keywordAuthorFraming-
dc.subject.keywordAuthorDrugs-
dc.subject.keywordAuthorMedia Coverage-
dc.subject.keywordAuthorTopic Modeling-
dc.subject.keywordAuthorSemantic Network Analysis-
dc.identifier.urlhttps://kiss.kstudy.com/Detail/Ar?key=4100128-
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