• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.869-872
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• 2018

온라인 뉴스 소비의 확산과 함께 댓글은 여론 형성에 큰 역할을 담당한다. 그러나 아직 댓글에 영향을 미치는 형식 요소에 대한 실증 데이터 기반의 연구는 미흡하다. 본 연구는 이의 시작으로 온라인 뉴스 기사 소비의 두 가지 중요 요소 즉, 헤드라인과 댓글의 관계에 대해 다루고자 한다. 이를 위해, 헤드라인의 논조 유무에 따른 댓글의 논쟁 활성화 정도 차를 확인하고자 댓글의 수와 길이를 분석하였다. '이세돌, 알파고 바둑대결', '최저임금', '북미회담' 기사로 총 537건의 해드라인과 약 85만개의 댓글을 수집하였다. 그 결과 논쟁 활성화 측면에서 논조가 있는 헤드라인일때 댓글의 수가 많고 길이가 길어 논쟁이 더 활발한 것을 할 수 있었다. 또, 댓글의 논쟁 주제도 차이가 있어 헤드라인의 논조가 있는 경우에 의견이나 감정을 표출하는 토픽이 더 많았다. 본 연구는 실증 데이터를 통해, 헤드라인의 논조 유무가 댓글의 논쟁의 활성화 정도와 주제에 영향을 주는 요소임을 밝힘으로써 댓글 소비에 대한 새로운 관점을 제시하고, 헤드라인의 형식 요소의 연구의 중요성을 확인한 데 그 의의가 있다.

• The Journal of Society for e-Business Studies
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• v.17 no.1
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• pp.173-187
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• 2012

As newspapers which have been major news media are being replaced by on-line news media in recent years, many researchers are paying attention to "comments(news users' short remarks on an article)", a newly emerged way of forming public opinion. This study is examining how the similarity between political disposition of on-line news visitors and that of news media impacts upon their evaluation on quality of comments from the viewpoint of 'social identity theory.' This study may have academic significance because it inspected the pattern of media usage and the cognition of comments in relation to political disposition for the first time and showed 'comments reading' and the function of comments to form public opinion(comments journalism).

• 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.

• 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.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.391-406
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• 2015

As the individual participation in online news sites proliferates, the importance of online news comments has been increasing. Social comment services which help people leave comments on news articles using their own SNS (social networking site) accounts have gained popularity recently. Using data gathered from an online news site, this study, therefore, (1) identifies factors differentiating social comments from general comments, (2) examines how social comments are significantly different from general comments in terms of each factor, (3) and further validates how the social comments' characteristics vary among different type of SNS. Then, we investigated this study by applying t-test, ANOVA, and Duncan test of SPSS Statistics. Our results provide insights on the significant differences in all the factors between general and social comments. We also found that there is a significant difference between Facebook and Twitter groups among three types of SNS. The findings of this study would help assess the actual benefit of social comment services as they may provide us with several valuable leads to solve the malicious comments issue. Moreover, they would suggest the need to apply this service to other areas, such as online environments in private and public sectors.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.33-55
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• 2022

This study analyzed the comments and the replies on internet news related to the presidential election in order to verify whether online discussions are properly conducted. According to Habermas' public sphere theory, discussions is an effort among participants to reach a social consensus through the deliberations that are based on open communications. We propose that if such discussions properly take place through the act of writing in the Internet space, the comments and the replies will show a certain difference in terms of the structure and the content. To validate, this study analyzed more than 40,000 comments collected from Daum News portal site in Korea. The topic of the related news was the presidential election, because it is a topic of which people are highly interested in and that comments are actively running. The result of the t-test and topic modeling result show that all the hypotheses were supported thus we conclude that online discussions properly took places. This study also showed that online comments are not chaotic remarks that relieve people's stresses, but rather an outcome of the deliberation processes moving towards a social consensus.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1880-1889
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• 2022

The online portal platform provides online news with online comments, but the anonymity of comments causes incivility, and online comments are considered social problems. While there are many foreign language-based incivility detection studies, in-depth research is not being conducted in Korea since there has not been implemented Korean language dataset which is labeled detailed criteria of incivility. In this study, the incivility notation of comments was conducted in a total of 13 items, uncivil words were summarized. Furthermore, Attention algorithm was applied to each comment and summary to extract embedding vectors. 2-d CNN followed at the end to detect incivility in given data. As a result, we showed that the proposed algorithm is useful for anti-citizen detection such as name-calling and offensive tones. This study is expected to contribute to the formation of a healthy online comment culture by detecting uncivil comments which hinder democratic discourse.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.957-960
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• 2012

최근 블로그나 인터넷 게시판과 같은 온라인 커뮤니티가 활발히 사용됨에 따라 댓글을 통해 자신의 의견을 적극적으로 나타내고자하는 이용자들이 계속해서 증가하고 있다. 실제 댓글 활동이 활발한 인터넷 게시판에서는 수천 개의 댓글이 달린 게시물도 심심치 않게 찾아볼 수 있다. 본 논문에서는 인터넷 게시판의 글의 정보와 댓글을 이용하여, 댓글의 확장과 조회 수와의 상관관계에 대해 알아보았다.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.399-406
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• 2019

The purpose of this study is to examine the relationship between corporate reputation and the profitability. In this study, Big Data Analysis was conducted for Hyundai Motor, Shinsegae Department Store, SK Telecom, and Amorepacific to solve research problems. The results of this study show that the effect of each corporate reputation on the profitability is different according to the company. For products such as Hyundai Motor and Amorepacific that are used directly by consumers, the corporate reputation formed by the comments was more influential. In addition, distribution Service company such as Shinsegae Department Store showed more influence by online news. On the other hand, SK Telecom did not have a significant effect on profitability. Based on the results, this study emphasizes the importance of online news and comments on corporate reputation management, and aims to contribute to establishing an efficient reputation management strategy by examining the relationship between corporate reputation and profitability.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.447-449
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• 2012

인터넷이 보급화 됨에 따라 사용자들이 온라인 커뮤니티에 댓글을 다는 것으로 자신의 의견을 적극적으로 나타내려는 추세가 심화되고 있다. 일부 활성화 되어있는 인터넷 커뮤니티에서는 수천 수만개의 댓글이 달린 게시물도 찾아볼 수 있다. 본 논문에서는 이러한 게시물들이 나타내는 댓글이 형성하는 구조에 대해 트리구조로 정의하고 이러한 댓글 트리의 단일 성분이 어떠한 분포를 나타내는지 알아보고자 한다.