Journal of Industrial Convergence (산업융합연구)

DAEHAN Society of Industrial Management (대한산업경영학회)
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A Study of Users' Ideological Propensity in the Comments of Online News: Focusing upon the Stories of the Web Portal Sites and the Press Website News Related to the 20th presidential Election

온라인 뉴스 댓글에 나타난 뉴스 이용자들의 이념적 성향에 관한 연구: 포털과 언론사닷컴의 20대 대선 관련 뉴스기사를 중심으로

  • 박광순 (청주대학교 미디어콘텐츠학부 ) ;
  • 안종묵 (청주대학교 미디어콘텐츠학부 )
  • Received : 2022.09.28
  • Accepted : 2022.12.20
  • Published : 2022.12.28
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Abstract

This paper aims to grasp what propensity users have in their ideology from the comments in the Web Portal News and the Press Website News. Through these analytical results, the political propensities of not only the Web Portal News and the Press Website News but also the voters who use these news media could be grasped. The collection of data necessary for this study has been made from the comments of 174 news stories for about 90 days before the election day. For the analysis, T-test has been used in order to compare Naver News with Daum News, the Minjoo Party of Korea with the People Power Party, and the Press Web Site News with Naver News. As a result of the analysis, the comments of Naver News took the higher percentage in the positive writings about the candidates of the conservative party. but, in contrast, those of Daum News in that percentage were higher about the ones of the progressive party. Accordingly, it can be found that Naver News is mainly used by users with the politically conservative propensity, while Daum News is mostly used by those with progressive one.

본 연구는 포털뉴스와 언론사닷컴 뉴스댓글에 나타난 이용자들의 정치이데올로기 성향이 어떠한지를 살펴보기 위해 실시되었다. 이 같은 분석결과를 통해 포털뉴스와 언론사닷컴뉴스는 물론, 이들 뉴스를 이용하는 유권자들의 정치성향을 파악할 수 있었다. 본 연구에 필요한 자료 수집은 선거일 전 약 90일간 174개의 뉴스기사 댓글을 대상으로 이루어졌다. 분석은 네이버뉴스와 다음뉴스, 더불어민주당과 국민의힘, 언론사닷컴뉴스와 네이버뉴스 간 비교를 위해 t-test 기법으로 실시되었다. 분석결과 네이버뉴스 댓글은 보수정당 후보에 대한 긍정적인 내용의 비율이 더 높은 반면, 다음뉴스 댓글은 진보정당 후보에 대한 긍정적인 내용의 비율이 더 높았다. 따라서 네이버뉴스는 정치적으로 보수성향 이용자들이 더 많이 이용하는 반면, 다음뉴스는 진보성향 이용자들이 더 많이 이용하고 있다는 것을 알 수 있었다.

Keywords

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