• Title/Summary/Keyword: Comments

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The Comparison Between the Comments and the Replies on Korean President Election News: using Topic Modeling (대선 관련 인터넷 뉴스의 댓글과 대댓글 간 비교를 통해 살펴본 온라인 토론의 진행 가능성)

  • Lee, Jung
    • 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.

The Third-Person Effects of Online Hate Comments (혐오성 댓글의 제3자 효과 댓글의 속성과 이용자의 성향을 중심으로)

  • Cho, Yoon Yong;Im, Yung Ho;Heo, Yun Cheol
    • Korean journal of communication and information
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    • v.79
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    • pp.165-195
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    • 2016
  • This paper aims to examine the third-person effect(TPE) of hate comments on online news, and analyze how the issue-relevant audience factors as well as the characteristics of the online message have influence on the TPE. More specifically, based on the distinction between hateful and logical comments regarding the issue of illegal immigration, the authors have conducted an online experiment that compares how the message-related features, i.e., ways of expressing the ideas, lead to the difference in TPE. Analysis was also conducted with regards to how political orientation and discriminatory predisposition to immigrants among the audiences, have different impacts on the TPE. The 479 participants in the experiments were randomly assigned to experimental group(exposed to hate comments) or control group(exposed to logical comments). The results reveal that the TPE of hate comments is higher than that of logical message. The same message proved to be more effective for news users with liberal orientation and discriminatory predisposition. The significance of this paper lies in that it has examined the effect of online hate comments in a rigorous experimental setting. Also the research further elaborated on the audience-related variables, for which the previous studies tended to focus those on the general psychological level rather than relate them more specifically to the issues.

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Extracting and Visualizing Dispute comments and Relations on Internet Forum Site (인터넷 토론 사이트의 논쟁댓글 및 논쟁관계 시각화)

  • Lee, Yun-Jung;Jung, In-Joon;Woo, Gyun
    • The Journal of the Korea Contents Association
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    • v.12 no.2
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    • pp.40-51
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    • 2012
  • Recently, many users discuss and argue with others using replying comments. This implies that a series of comments can be a new source of information since various opinions can be appeared in the dispute. It is important to understand the implicit dispute structure immanent in the comment set. In this paper, we examine the characteristics of disputes using replying comments in the Internet forum sites using a set of test articles with the comments collected from SketicalLeft and Agora, which are famous Internet forum sites in Korea. And we propose a new method for detecting and visualizing the dispute sections and relations from a large set of replying comments. To show the performance of our method, we measured precision, recall, and F-measure. According to the experimental results, the F-measures of the detection of the comments in dispute are about 0.84 (SketpcialLeft) and 0.83 (Agora); those of the detection of the commenter pairs in dispute are 0.75 (SketpcialLeft) and 0.82 (Agora), respectively. Since our method exploits the temporal order of commenters to detect the disputes, it is not dependent on the host language nor on the typos in comments. Also, our method can help the readers to grasp the structure of controversy hidden in the comment set through the visualized view.

Translational Study on 8 Prescriptions of Strengthening GiHyeol[補氣血] and Tranquilization[安神] in the book I of "The Golden Mirror of Medicine [醫宗金鑑].The Elimination and Supplement about Famous Prescription Comments [刪補名醫方論]";Focused on Translation and Comparative Discussion about "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)"권일(卷一)의 보기혈안신(補氣血安神) 처방 8수(首)에 대한 번역연구;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.21 no.1
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    • pp.111-122
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    • 2008
  • At the book I of "The Golden Mirror of Medicine[醫宗金鑑] The Elimination and Supplement about Famous Prescription Comments[刪補名醫方論]", 22 prescriptions are recorded. At the first part of the book, it mainly described about the prescriptions of invigorating Gi[補氣], which is followed by the prescriptions on enriching blood and nourishing vital essence fluid[補陰血], and the prescriptions on strengthening Gihyeol[補氣血] and tranquilization[安神] are described at the last part of the book. At the current review, the 8 prescriptions of strengthening Gihyeol[補氣血] and tranquilization[安神] of the last part of the book I will be translated, and compared with the similar related comments in the book of "The Famous Prescription Comments on Ancient and Modern Times[古今名醫方論]" to review about the characteristics of formula, prescriptions notes and the relationship of these contents. In terms of formula, the order of prescriptions to strengthen Gihyeol[補氣血] could be listed from the indirectly strengthening prescriptions to the directly strengthening prescriptions. In addition, the list of prescriptions will be sequenced by following the order of weak strengthening prescriptions to the strong strengthening prescriptions. The order of tranquilization prescription must be ordered for the symptoms showing mild psychological symptoms to severe symptoms in terms of severity of symptom, and will be ordered from the prescriptions highly dependent on invigorating Gi[補氣] to the prescriptionless dependent on invigorating Gi[補氣]. In the way of controlling Premier Fire[相火], these prescriptions are ordered from the prescriptions that use indirect methods to the prescriptions that use direct methods Characteristics of the prescription notes could be mentioned that the herbs of invigorating Gi(補氣) is pivotal in strengthening Gihyeol[補氣血] and the sour flavor and pungent flavor acted as negative and positive[陰陽的] when sour flavor and pungent flavor are used to enrich liver, and that sweet flavor could easily indigested to cause abdominal distension. When comparing with the content of "The Famous Prescription Comments on Ancient and Modern Times[古今名醫方論]", it mostly adopted the content as it is, but differentiation of the formula and addition of 2 new prescriptions with their explanation in the middle of the book could be considered to be creative aspect that helped the convenience of readers.

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A study on the effects of Information asymmetry and sentimental communication in Crowdfunding platform (크라우드펀딩 플랫폼에서 정보 비대칭과 감성 커뮤니케이션이 미치는 영향에 관한 연구)

  • Lim, Sung Jun;Lee, Jong Hag
    • Journal of Service Research and Studies
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    • v.11 no.3
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    • pp.1-16
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    • 2021
  • Recently, crowdfunding has been receiving increased attention due to the variety of novel ways it provides for connecting funders and fundraisers. Concurrently, however, it has been criticized on the grounds of information asymmetry. We are interested in whether information collected from an asymmetric information source significantly influences crowdfunding success. Through this study, we would like to establish a social field of convergence pursued by Serve Science and to conduct practical research and practice together. First, we investigated the importance of interaction between funders and fundraisers within the crowdfunding platform. In the "comments" section, communication between funders and fundraisers reduces the degree of asymmetric information. In the aspect of presumable funders, they should make the best of the "comments" section to collect more solid information without losing return on their investment. Second, we analyze sentiment-based optimistic and pessimistic information from the "story" (asymmetric source) and "comments" sections. In conclusion, it shows that the optimistic and pessimistic information of the "comments" section has a great impact on crowdfunding success and that the influence of the "story" section is limited to pessimistic information under certain conditions. The crowdfunding platform is an innovative and productive way for startups and entrepreneurs to start a business, and since information an important role in the success of crowdfunding, It can be seen that it is essential to focus on establishing the best communication methods.

Feedback on Peer Feedback in EFL Composing: Four Stories

  • Huh, Myung-Hye;Lee, Jang Ho
    • Journal of English Language & Literature
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    • v.57 no.6
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    • pp.977-998
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    • 2011
  • The purpose of this study is to investigate prospective teachers' perceptions of the peer review comments readily available to them during the writing process in a teacher training class. Given these needs, we employ a qualitative method of inquiry giving voice to the learner's own view of peer feedback. The data we wish to consider is first-person narratives elicited from four EFL college students, who are prospective teachers of English. With regard to the EFL students' narrative considered here, all were attentive to the feedback they received. Moreover, the way in which these EFL writers talk about peer response activity reflects that they still welcome peer feedback because of the benefits to be accrued from it. Although this study, covering only four EFL students in total, can hardly be considered conclusive, we attempt to offer a synthesis of their stories. First of all, students indicate that they received responses from "authentic readers" (Mittan 1989, 209). We do note, consequently, that students gain a clear understanding of readers' needs by receiving feedback on what they did well and on what seems unclear. Perhaps the greater effect of peer feedback claimed by these students is that they take active roles in utilizing peer comments. Since they feel uncertain about the validity of their classmates' responses, students feel that they have autonomy over their own text and can make their own decisions on whether they should accept their peer comments or not. This contrasts with their treatment of teacher comments that they accept begrudgingly even if they disagree with them. Four EFL writers talked a lot, typically in a positive way, about peer response to their writing, yet they have expressed reservations about the extent to which they should put any credence in comments offered by their fellow students. Perhaps this is because their fellow students are still developing writers and EFL learners. In turn, they were sometimes reluctant to accept the peers' comments. Thus, in EFL contexts, L1 use can be suggested during peer feedback sessions. In particular, we have come to feel that L1 use enables both reviewers and receivers to have more productive peer review experiences. Additionally, we need to train students not "to see peer feedback as potentially bad advice" (Silva et al. 2003, 111). Teachers should focus on training students to utilize their peers' comments. Without such training, students will either ignore feedback or fail to use it constructively.

Convergence of Korean Traditional Dance and K-Pop Dance : An Analysis of Comments on 2018 MMA BTS 'IDOL' Videos on YouTube (한국 전통춤과 K-pop 댄스의 융합 : 2018 MMA 방탄소년단 'IDOL' 유튜브 댓글 분석)

  • Yoo, Ji-Young;Kim, Mi-Kyung
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.8
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    • pp.189-198
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    • 2019
  • This study aims to make meaning of the reactions of the Korean people through the text mining of comments on videos of the December 2018 MMA performance of intro on YouTube. For this, comments on 15 YouTube videos were collected over the past 10 months. With the collected data, a total of 5,135 comments were analyzed through crawling using the Python and BeautifulSoup programs, data was refined over a total of 3 sessions, and a final total of 5,080 comments were used as analysis material. A mining technique was used for data analysis and the process of refinement, analysis, and visualization was achieved using the Textom program. Research results showed that keyword analysis showed the keywords of 'performance', 'Korea', 'video', 'top', 'cool', 'dance', 'idol', 'legend', 'love', and 'gratitude' in that order and keywords such as 'patriotism' and 'Olympics' also appeared frequently. N-gram analysis showed that comments with contexts such as 'a top performance that will remain a legend among Korean idol performances', and 'an idol performance that displayed the traditional culture of Korea' were in higher ranks. Based on such keyword analysis results, topic modeling was applied and 5 top keywords were extracted from a total of 5 topics. Analysis results of topic contents and distribution showed that topics in the comments of this performance's videos largely consisted of the 3 reactions of 'high praise regarding the stage performance', 'affection towards the fusion and artistic sublimation of Korean traditional dance', and 'gratitude towards the uploading of cool dance videos'

Analysis of Practical Tasks of Technical Designers of Big Vendors (대형 의류벤더의 테크니컬 디자이너 실무 분석)

  • Ha, Hee Jung
    • Human Ecology Research
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    • v.55 no.5
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    • pp.555-566
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    • 2017
  • This study analyzes the practical tasks and required competency for technical designers to provide basic data on the training of domestic technical designers. The survey was applied to 21 technical designers of big vendors as well as investigated tasks, task flow, important tasks, time-consuming tasks, and required competencies. The results of the study are as follows. First, the technical designers were in charge of several brands of buyers and distributors of fashion companies, or several lines of the same brand. The main production items were cut and sewn knits. Second, the flow of task and tasks were in the order of buyer comments analysis, sloper decision to matching style, sewing specification, productive sewing method research, size specification suggestion, pattern correction comments, construction decision to matching style & fabric, sample evaluations, fit approval, business e-mail writing, specification & grading confirmation, and communication with buyer. Third, five tasks (analysis of buyer comments analysis, communication with buyer, pattern correction comments, productive sewing methods research, sample evaluation) were important and time-consuming tasks. Fourth, reeducation was required in order of sewing, pattern, English, fabric, and fitting. Fifth, competencies to be a technical designers were fitting, pattern correction, size specification & grading, construction & sewing specification, sewing terms & techniques, and communication skills. In conclusion, technical designer training should focus on technology-based instruction, such as sample evaluation, fitting, pattern correction, and productive sewing methods research of cut and sewn knits.

Design and implementation of malicious comment classification system using graph structure (그래프 구조를 이용한 악성 댓글 분류 시스템 설계 및 구현)

  • Sung, Ji-Suk;Lim, Heui-Seok
    • Journal of the Korea Convergence Society
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    • v.11 no.6
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    • pp.23-28
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    • 2020
  • A comment system is essential for communication on the Internet. However, there are also malicious comments such as inappropriate expression of others by exploiting anonymity online. In order to protect users from malicious comments, classification of malicious / normal comments is necessary, and this can be implemented as text classification. Text classification is one of the important topics in natural language processing, and studies using pre-trained models such as BERT and graph structures such as GCN and GAT have been actively conducted. In this study, we implemented a comment classification system using BERT, GCN, and GAT for actual published comments and compared the performance. In this study, the system using the graph-based model showed higher performance than the BERT.

The Impact of Comments on Music Download and Streaming: A Text Mining Analysis (댓글이 음원 판매량에 미치는 차별적 영향에 관한 텍스트마이닝 분석)

  • Park, Myeong-Seok;Kwon, Young-Jin;Lee, Sang-Yong Tom
    • Knowledge Management Research
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    • v.19 no.2
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    • pp.91-108
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    • 2018
  • This study mainly focused on measuring the impact of comments for a particular song on the number of streamings and downloads. We modeled multiple regression equations to perform this analysis. We chose digital music market for the object of analysis because of its inherent characteristics, such as experience goods, high bandwagon effect, and so on. We carefully utilized text mining technique in accordance with the algorithm of Naïve Bayes classifier to distinguish whether a comment for a piece of music be regarded as positive or negative. In addition, we used 'size of agency' and 'existence of hit song' as moderating variables. The reason for usage of those variables is that those are assumed to affect users' decision for selecting particular song especially when downloading or streaming via music sites. We found empirical evidences that positive comments for a particular song increase the number of both downloads and streamings. However, positive comments may decrease the number of downloads when the size of agency of the artist is big. As a result, we were able to say that a positive comment for a particular song functioned as 'word-of-mouth' effect, inducing other users' behavioral response. We also found that other features of an artist such as size of the agency that the artist belongs to functioned as an external factor along with feature of the song itself.