• Title/Summary/Keyword: 베스트 댓글

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An Effect of the Valence of Best Reply on the Conformity of General Reply (베스트 댓글의 방향성이 일반댓글의 동조효과에 미치는 영향)

  • Moon, Kwangsu;Kim, Seul;Oah, Shezeen
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.201-211
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    • 2013
  • This study examined the effect of valence for best reply on the conformity of general reply in online environment. A total of 194 participants participated in this study, each participant assigned randomly in three experimental groups(positive, negative, and control). Participants were asked to read online news article, best reply and general 6 replies, and then, to write their own opinions in the reply section. In addition, the level of self-expression and issue commitment were measured. The contents of reply participants written was categorized three valence(positive, negative, and neutral) by the four experimenters' judgment. The mean of inter-rater reliability was 84.9%. The results indicated that the level of self-expression and issue commitment were comparable across experimental conditions. However, the result of cross-table analysis showed that there is a significant difference in the valence of general reply across experimental conditions. Specifically, there were significant difference in the valence of general reply between positive and negative experimental group and positive and control group, but there is no significant difference between negative and control group.

Analyzing the Characteristics of Online News Best Comments (온라인 뉴스 베스트 댓글의 특성 분석)

  • Kim, Jin Woo;Jo, Hye In;Lee, Bong Gyou
    • Journal of Digital Contents Society
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    • v.19 no.8
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    • pp.1489-1497
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    • 2018
  • 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.

A Study of Webtoon comments using Text mining : Focusing on Naver's Best Challenge Webtoon (텍스트 마이닝 기법을 활용한 웹툰 댓글 분석 : 네이버 베스트 도전 웹툰을 중심으로)

  • Lee, Yunju;So, Hyeonjeong;Kwahk, Kee-Young;Ahn, Hyunchul
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.219-222
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    • 2020
  • 웹툰 시장의 성장에 따라, 웹툰을 주제로 다양한 연구가 진행되고 있다. 그러나 웹툰의 댓글을 분석한 연구는 특정 웹툰에 한정된 연구가 많아 일반적인 웹툰 독자의 댓글 특징을 보기에는 한계가 있다. 또한 웹툰의 흥행과 관련하여, 흥행에 성공한 웹툰과 그렇지 못한 웹툰의 독자 반응을 파악하는 연구는 부족한 실정이다. 따라서 본 연구는 웹툰의 흥행에 주목하여, 흥행의 지표를 웹툰 플랫폼 정식연재로 판단하고, 정식연재가 된 웹툰과 되지 못한 웹툰의 댓글을 비교 분석하였다. 분석 결과, 정식연재가 된 웹툰은 긍정적인 감상평 외에 2차적 저작물을 언급하고 등장인물의 이름 언급이 높았으나 정식연재가 되지 못한 웹툰은 부정적인 감상평 외에, 웹툰 요소에 대한 부정적 언급과 웹툰 장르와 다른 장르의 언급이 나타나 웹툰에 대한 독자의 불만족 요인을 파악할 수 있었다.

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