뉴스 콘텐츠 빅데이터 분석을 통한 정파 언론의 프레이밍 연구: 정부의 원전 정책 보도를 중심으로

The A study on the framing of partisan media through news contents big data analysis: Focusing on nuclear policy news reports

초록

To empirically verify the framing aspects of the partisan media, this study conducted semantic network centrality analysis, CONCOR analysis, and sentiment analysis, focusing on reports related to the nuclear power policy of the Moon Jae-in and Yoon Seok-yeol governments. As a result of the study, it was found that both the conservative and progressive media were neutral in terms of expression in each period but formed biased discourse by utilizing connections between keywords. Specifically, the progressive press sought support for nuclear power plant policy and expansion of environmental discourse. At the same time, the conservative media focused more on the economic and industrial aspects of nuclear power and political conflicts. The above research results summarized the impact of the frame strategy of partisan media related to nuclear power policy on public opinion, and the direction in which nuclear power-related news should go in the future was discussed.

키워드

News contentsNuclear power policyBig data analysisSemantic Network AnalysisSentimental Analysis뉴스 콘텐츠원자력 발전 정책빅데이터 분석언어네트워크 분석감성 분석
제목
뉴스 콘텐츠 빅데이터 분석을 통한 정파 언론의 프레이밍 연구: 정부의 원전 정책 보도를 중심으로
제목 (타언어)
The A study on the framing of partisan media through news contents big data analysis: Focusing on nuclear policy news reports
저자
박진우박만수
DOI
10.9728/dcs.2023.24.2.385
발행일
2023-02
저널명
디지털컨텐츠학회논문지
24
2
페이지
385 ~ 397

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