• Title, Summary, Keyword: Comments

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Applying Text Mining to Identify Factors Which Affect Likes and Dislikes of Online News Comments (텍스트마이닝을 통한 댓글의 공감도 및 비공감도에 영향을 미치는 댓글의 특성 연구)

  • Kim, Jeonghun;Song, Yeongeun;Jin, Yunseon;kwon, Ohbyung
    • Journal of Information Technology Services
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    • v.14 no.2
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    • pp.159-176
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    • 2015
  • As a public medium and one of the big data sources that is accumulated informally and real time, online news comments or replies are considered a significant resource to understand mentalities of article readers. The comments are also being regarded as an important medium of WOM (Word of Mouse) about products, services or the enterprises. If the diffusing effect of the comments is referred to as the degrees of agreement and disagreement from an angle of WOM, figuring out which characteristics of the comments would influence the agreements or the disagreements to the comments in very early stage would be very worthwhile to establish a comment-based eWOM (electronic WOM) strategy. However, investigating the effects of the characteristics of the comments on eWOM effect has been rarely studied. According to this angle, this study aims to conduct an empirical analysis which understands the characteristics of comments that affect the numbers of agreement and disagreement, as eWOM performance, to particular news articles which address a specific product, service or enterprise per se. While extant literature has focused on the quantitative attributes of the comments which are collected by manually, this paper used text mining techniques to acquire the qualitative attributes of the comments in an automatic and cost effective manner.

The Relationship between Cyber Characteristics and Malicious Comments on Facebook : The Role of Anonymity and Dissemination (페이스북에서 사이버 특성과 악성댓글의 관계 : 익명성과 전파성의 역할)

  • Kim, Han-Min
    • Journal of Information Technology Applications and Management
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    • v.25 no.1
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    • pp.87-104
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    • 2018
  • The internet is spreading widely and malicious comments which is a negative aspect is increasing. Previous studies have considered anonymity as a cyber characteristic of malicious comments. However, there are a theoretical confusion due to inconsistent results. In addition, the dissemination, one of cyber characteristics, have been mentioned the theoretical relationship on malicious comments, but measurement and empirical study about dissemination were still limited. Therefore, this study developed a measurement of dissemination and investigated the relationship between cyber characteristics (anonymity, dissemination) and malicious comments on Facebook. As a result of research, this study identified that anonymity is not significant on malicious comments and discovered that the dissemination of cyber space has a direct influence on malicious comments. This study suggests that information systems can contribute to malicious comments researches by proposing cyber characteristics.

A Systems Thinking Approach for Facilitating Benevolent Comments Online (온라인 선플 활성화 방안 탐색: 시스템사고 접근 방식으로)

  • Choi, Jee-Eun;Lee, Sun-Gyu;Kim, Hee-Woong;Kwahk, Kee-Young
    • Knowledge Management Research
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    • v.17 no.4
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    • pp.191-213
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    • 2016
  • Since the smartphone era has spurred world-over, social network services have become a part of people's daily lives. However, this relatively new phenomenon of technology development raises several negative side effects such as cyberbullying. One of the representative cases of cyberbullying is posting malicious comments online. Multiple social issues arising from this have given impetus to the "benevolent comments campaign" in order to restrain the diffusion of malicious comments. Benevolent comments have advantages that generate positive externalities such as inspiring ethics for an appropriate internet culture, but there is a lack of theoretical research on the deeper understanding of posting benevolent comments. This study thus aims to extract the motivations behind posting benevolent comments through in-depth interviews and suggest alternatives for relative issues through the causal relationship diagram of the system dynamics methodology. This work contributes to our understanding of the factors that affect the increase and decrease in benevolent comments in distinct structural frameworks.

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.

The Characteristics of Malicious Comments: Comparisons of the Internet News Comments in Korean and English (악성 댓글의 특성: 한국어와 영어의 인터넷 뉴스 댓글 비교)

  • Kim, Young-il;Kim, Youngjun;Kim, Youngjin;Kim, Kyungil
    • The Journal of the Korea Contents Association
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    • v.19 no.1
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    • pp.548-558
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    • 2019
  • Along generalization of internet news comments, malicious comments have been spread and made many social problems. Because writings reflect human mental state or trait, analyzing malicious comments, human mental states could be inferred when they write internet news comments. In this study, we analyzed malicious comments of English and Korean speaker using LIWC and KLIWC. As a result, in both English and Korean, malicious comments are commonly more used in sentence, word phrase, morpheme, word phrase per sentence, morpheme per sentence, positive emotion words, and cognitive process words than normal comments, and less used in the third person singular, adjective, anger words, and emotional process words than normal comments. This means people are state that they can not control their feeling such as anger and can not think well when they write news comments. Therefore, when internet comments were written, service provider should consider the way that commenters monitor own writings by themselves and that they prevent the other users from getting close to comments included many negative-emotion words. In other sides, it is discovered that English and Korean malicious comments was discriminated by authenticity. In order to be more objective, gathering data from various point of time is needed.

The Prescriptions of Enriching Blood and Nourishing Vital Essence (補陰血方劑) in "The Elimination & Supplement about The Famous Prescription Comments(刪補名醫方論)" of "The Golden Mirror of Medicine(醫宗金鑑)";focus on translation & comparative study with "The Famous Prescription Comments on Ancient and Modern Times (古今名醫方論)" ("의종금감(醫宗金鑑) . 산보명의방론(刪補名醫方論)"의 보음혈(補陰血) 처방에 대한 연구;번역 및 "고금명의방론(古今名醫方論)"과의 비교고찰을 중심으로)

  • Kim, Seung-Hwan;Lee, Yong-Bum
    • Journal of Korean Medical classics
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    • v.20 no.3
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    • pp.67-77
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    • 2007
  • Through the translation and comparative study of the enriching blood and nourishing vital essence(補陰血方劑) in "The Elimination & Supplement about the Famous Prescription Comments(刪補名醫方論)" of "The Golden Mirror of Medicine(醫宗金鑑)" with "The Famous Prescription Comments on Ancient and Modern Times(古今名醫方論)", we confirmed that about 50% of the sentences from "The Elimination & Supplement about the Famous Prescription Comments(刪補名醫方論)" were quoted in "The Famous Prescription Comments on Ancient and Modern Times(古今名醫方論)", and that many of the text were not quoted unchanged, but were revised and supplemented. In organization, the prescription with the fewer number of component drugs is given first, followed by that with more component drugs, and that with similar component drugs is explained subsequently to facilitate understanding. In the prescription notes, it is emphasized that when enriching blood, the invigorative method(補氣法) is very important and that cold or pungent herb should be very carefully used.

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An Exploratory Study on Online Prosocial Behavior (정성적 연구를 통한 온라인 친사회적 행동의 동기 요인 탐색)

  • Jang, Yoon-Jung;Cho, Eun-Young;Kim, Hee-Woong
    • Knowledge Management Research
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    • v.16 no.1
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    • pp.225-242
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    • 2015
  • Cyberbullying, i.e., posting malicious comments online, has been identified as a critical issue in the online and social media context. It has become prevalent on a global scale, which happens across all ages. As a way to reduce and prevent cyberbullying, it is important to promote online prosocial behavior. In line with the concept of online prosocial behavior, we suggest posting benevolent comments against posting malicious comments as a new type of online prosocial behavior, which can combat cyberbullying and facilitate positive online culture. This study thus aims to analyze what motivates people to post benevolent comments in the online context. Based on interview methods, we extracted seven driving factors (self-presentation, pleasure, social contribution, emotional support, reputation, monetary reward, and reciprocity) and two inhibiting factors (social anxiety and effort) of posting benevolent comments online. This study has its theoretical contribution in exploring the motivation factors leading to the posting of benevolent comments by extending the concept of online prosocial behavior. It also has its practical implications by providing guidance for promoting prosocial behavior in the online context.

A literal study on the textual comments of Zhongjingshu which were cited by Hyangyakjipsung-bang (『향약집성방』에 인용된 중경서 조문에 대하여)

  • Ha Ki Tae;Kim Young Mi;Jeong Sang Shin;Kim June Ki;Choi Dall Yeong
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.17 no.1
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    • pp.44-49
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    • 2003
  • The textual comments on Shanghanlun and Jinguiyaolue were found in Hyangyakjipsung-bang, the representative medical book in the early period of Choson Dynasty. In all 57 chapters of the book, 17 chapters are related to those comments, and only one comment is quoted from all chapters except the chapter of 'Shanghanlun' and 'Jinguiyaolue'. As classified the comments by citation order, Jinguifang had 14 comments, Zhangzhongjing had 7 comments, Zhangzhongjing had 4 comments, and Jinguiyuhan had 1 comment. Comparing to the present version, 16 comments were qouted from Jinguiyaolue and 7 comments were quoted from Shanghanlun and 1 comment was quoted from Jinguiyuhanjing, but the source of 2 comments were not identified. Especially the 1 comment from Jinguiyuhanjing not only shows the importing date of the book into Korea, but also proofs the importance of the book which can refute the supposed source of the book as a reprint by Chenshijie in China. This results showed that Zhangzhongjing's books, which has imported before the early period of Chosun Dynasty, had an influence on Korean Medicine. As a result, further research on the medical books in the early period of Chosun Dynasty excepting Hyangyakjipsung-bang will be necessary.

Feature Weighting for Opinion Classification of Comments on News Articles (뉴스 댓글의 감정 분류를 위한 자질 가중치 설정)

  • Lee, Kong-Joo;Kim, Jae-Hoon;Seo, Hyung-Won;Rhyu, Keel-Soo
    • Journal of the Korean Society of Marine Engineering
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    • v.34 no.6
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    • pp.871-879
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    • 2010
  • In this paper, we present a system that classifies comments on a news article into a user opinion called a polarity (positive or negative). The system is a kind of document classification system for comments and is based on machine learning techniques like support vector machine. Unlike normal documents, comments have their body that can influence classifying their opinions as polarities. In this paper, we propose a feature weighting scheme using such characteristics of comments and several resources for opinion classification. Through our experiments, the weighting scheme have turned out to be useful for opinion classification in comments on Korean news articles. Also Korean character n-grams (bigram or trigram) have been revealed to be helpful for opinion classification in comments including lots of Internet words or typos. In the future, we will apply this scheme to opinion analysis of comments of product reviews as well as news articles.

TRIB : A Clustering and Visualization System for Responding Comments on Blogs (TRIB: 블로그 댓글 분류 및 시각화 시스템)

  • Lee, Yun-Jung;Ji, Jung-Hoon;Woo, Gyun;Cho, Hwan-Gue
    • The KIPS Transactions:PartD
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    • v.16D no.5
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    • pp.817-824
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    • 2009
  • In recent years, Weblog has become the most typical social media for citizens to share their opinions. And, many Weblogs reflect several social issues. There are many internet users who actively express their opinions for internet news or Weblog articles through the replying comments on online community. Hence, we can easily find internet blogs including more than 10 thousand replying comments. It is hard to search and explore useful messages on weblogs since most of weblog systems show articles and their comments to the form of sequential list. In this paper, we propose a visualizing and clustering system called TRIB (Telescope for Responding comments for Internet Blog) for a large set of responding comments for a Weblog article. TRIB clusters and visualizes the replying comments considering their contents using pre-defined user dictionary. Also, TRIB provides various personalized views considering the interests of users. To show the usefulness of TRIB, we conducted some experiments, concerning the clustering and visualizing capabilities of TRIB, with articles that have more than 1,000 comments.