Journal of Digital Contents Society (디지털콘텐츠학회 논문지)

Digital Contents Society (한국디지털콘텐츠학회)
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Analyzing the Characteristics of Online News Best Comments

온라인 뉴스 베스트 댓글의 특성 분석

  • Kim, Jin Woo (Graduate School of Information, Yonsei University) ;
  • Jo, Hye In (Graduate School of Information, Yonsei University) ;
  • Lee, Bong Gyou (Graduate School of Information, Yonsei University)
  • 김진우 (연세대학교 정보대학원 ICT.콘텐츠트랙) ;
  • 조혜인 (연세대학교 정보대학원 ICT.콘텐츠트랙) ;
  • 이봉규 (연세대학교 정보대학원 ICT.콘텐츠트랙)
  • Received : 2018.07.25
  • Accepted : 2018.08.28
  • Published : 2018.08.31
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Abstract

The importance of comments is constantly growing as a participation of individual in Online News that being invigorated. The 'Best Comments', which strongly related by major participants are recognized as a primary public opinion, and obtains the power. Thus this study is aimed to analyze the characteristics of the 'Best Comments' by utilizing the data of comments on Online News. For this study, a possible element that may reveal the difference between 'general' comments and 'best' comments were set up, digitalized the data, and examined the difference between 'general' and 'best' comments. This study is expected to provide a clue for the problematic issues, such as 'online comment rigged scandal' in recent; also as a basic data that subjected by the individual, academic society, government, and etc.

온라인 뉴스에 개인의 참여가 활성화되면서 댓글의 중요성은 더욱 커지고 있다. 특히 이용자들에게 많은 공감을 받는 '베스트 댓글'은 주된 여론으로 인식되고 큰 영향력을 가진다. 따라서 본 연구는 온라인 뉴스 댓글 데이터를 이용하여 베스트 댓글의 특성을 알아보고자 하였다. 이를 위해 일반 댓글과 차이점을 보일 가능성이 있는 요소를 설정 후, 데이터를 수치화하여 일반 댓글과 베스트 댓글의 차이를 분석하였다. 본 연구는 최근 댓글 조작 등의 문제 해결에 실마리를 제공하고 개인 및 학술단체, 정부기관 등을 주체로 하여금 기초 자료로 활용될 것으로 기대된다.

Keywords

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