문화기술의 융합 (The Journal of the Convergence on Culture Technology)

  • 제6권4호
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  • Pages.575-582
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  • 2020
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  • 2384-0358(pISSN)
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  • 2384-0366(eISSN)
국제문화기술진흥원 (The International Promotion Agency of Culture Technology)
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정보 중립성 확보를 위한 인터넷 뉴스 댓글의 정치성향 분석

Political Information Filtering on Online News Comment

  • 최혜봉 (한동대학교 ICT 창업학부) ;
  • 김재홍 (한동대학교 커뮤니케이션학부) ;
  • 이지현 (한동대학교 전산전자공학부) ;
  • 이민구 (한동대학교 커뮤니케이션학부)
  • 투고 : 2020.10.30
  • 심사 : 2020.11.20
  • 발행 : 2020.11.30
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초록

본 연구는 인터넷 뉴스 댓글 빅데이터 분석을 통해 뉴스 댓글 사용자의 정치적 성향을 추정하는 방법을 제안한다. 인터넷 뉴스 댓글과 작성자의 정치 성향을 함께 제공하여 디지털 매체를 통한 정보 전달의 객관성과 중립성을 확보하고자 한다. 250만 건 이상의 인터넷 뉴스 댓글의 특성을 분석하고 사용자의 정치적 성향을 효과적으로 추정하기 위한 특징을 추출한다. 어휘사전 기반 알고리즘과 유사도 기반 알고리즘을 제안하고 실험을 통해 두 알고리즘을 비교하고 효과를 검증한다.

We proposes a method to estimate political preference of users who write comments on internet news. We collected and analyzed a massive amount of new comment data from internet news to extract features that effectively characterizes political preference of users. We expect that it helps user to obtain unbiased information from internet news and online discussion by providing estimated political stance of news comment writer. Through comprehensive tests we prove the effectiveness of two proposed methods, lexicon-based algorithm and similarity-based algorithm.

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