• Title/Summary/Keyword: 온라인 토론 커뮤니티

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The Relationship between Anonymity, Personal and Group Identities, and Discussion Quality in Online Discussion Communities (온라인 토론 커뮤니티에서의 익명성과 개인 및 집단 정체성, 토론의 질 간의 영향 연구)

  • Ae Ri Lee
    • Information Systems Review
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    • v.21 no.3
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    • pp.63-86
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    • 2019
  • As the use of ICT became a part of daily social life, online community has emerged as a new type of social organization. Online community is a virtual space which enables many people to participate and contribute together to collective knowledge. Anonymity in online communities can encourage active social participation by people with various social constraints, however, anonymity can also lead to serious social pathology. As a result, it is necessary to study on what is fundamentally influencing human behavior and how people's behavior is controlled in anonymous online community. This study focuses on human identity and investigate the factors affecting human behavior control in anonymous online environment by examining various aspects of identity in online discussion community. This study empirically verifies the causal relationship between factors, including social & technical anonymities, various identity dimensions, intrinsic motivation to participate in the community, group norm conformity, and quality of discussion. It also analyzes the difference between groups by the level of anonymity, gender, age, community usage period, and discussion topic. Based on the findings, this research provides theoretical and practical implications for online community management strategies and a better culture on Internet discussion.

The Effect of Social Anonymity on Community Quality : Mediated by Self Expression, Self Control, and Community Ties (사회적 익명성이 커뮤니티 품질에 미치는 영향 : 표현욕구, 자기통제, 유대감의 매개효과를 중심으로)

  • Shin, Ji-Myoung;Kim, Kyung-Kyu;Park, Joo-Yeon
    • The Journal of Society for e-Business Studies
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    • v.16 no.4
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    • pp.257-281
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    • 2011
  • The purpose of this study is to examine the effect of social anonymity on community quality and find out mediating factors that affect the relationship between social anonymity and community quality in online community sites. This study focuses on the factors such as self expression, self control, and community ties to investigate their mediating roles on the relationship between social anonymity and community quality. Also, discussion quality and information quality are used to measure online community quality. The results of this study show that social anonymity is directly related to discussion quality but not related to information quality. As for the mediating effects, self expression, self control and community ties are all shown to have strong mediating effects on the social anonymity and community quality relationship.

Cluster and Polarity Analysis of Online Discussion Communities Using User Bipartite Graph Model (사용자 이분그래프모형을 이용한 온라인 커뮤니티 토론 네트워크의 군집성과 극성 분석)

  • Kim, Sung-Hwan;Tak, Haesung;Cho, Hwan-Gue
    • Journal of Internet Computing and Services
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    • v.19 no.5
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    • pp.89-96
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    • 2018
  • In online communities, a large number of participants can exchange their opinion using replies without time and space restrictions. While the online space provides quick and free communication, it also easily triggers unnecessary quarrels and conflicts. The network established on the discussion participants is an important cue to analyze the confrontation and predict serious disputes. In this paper, we present a quantitative measure for polarity observed on the discussion network built from reply exchanges in online communities. The proposed method uses the comment exchange information to establish the user interaction network graph, computes its maximum spanning tree, and then performs vertex coloring to assign two colors to each node in order to divide the discussion participants into two subsets. Using the proportion of the comment exchanges across the partitioned user subsets, we compute the polarity measure, and quantify how discussion participants are bipolarized. Using experimental results, we demonstrate the effectiveness of our method for detecting polarization and show participants of a specific discussion subject tend to be divided into two camps when they debate.

Message Quality, Structural Positions in Discussion Network, and Opinion Leadership: A Case Analysis of 'Free-Lunch Debate' in Online Political Discussion (메시지 품질과 토론 연결망의 구조적 위치, 그리고 여론지도력: 서울시 '무상급식 논란'의 온라인 정치토론 사례 분석)

  • Kim, Kyung-Mo;Song, Hyun-Jin
    • Korean journal of communication and information
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    • v.56
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    • pp.194-218
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    • 2011
  • Focusing on the individuals' structural positions and roles in the internet discussion network, this research explores whether and how the opinion leaders' network characteristics are associated with the message quality and interpersonal influence in terms of attention-drawing and response-generation, which prior studies often failed to fully explicate. Findings suggest that discussion participants with high message quality occupy more central positions in the discussion network, thus enjoy more attention and responses of other following participants. However, opinion leader's network centralities, which tap the structural positions and unique roles in the online discussion network, systematically mediate the effect of the message quality on interpersonal influence. Moreover, significant interaction between opinion perception and network centrality was found only on the majority opinion group, rendering the entire discussion structure toward more enclaved deliberation and group polarization. Taken together, the results imply that the influence of the online opinion leader can only be substantiated with participant's central positions in the discussion network, which has been ignored by the prior opinion leadership research.

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User Characterization from Replying Comment Structures in Online Discussion (온라인 토론의 댓글 응답 구조를 이용한 사용자 특성 분석)

  • Kim, Sung-Hwan;Tak, Haesung;Cho, Hwan-Gue
    • The Journal of the Korea Contents Association
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    • v.18 no.11
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    • pp.135-145
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    • 2018
  • In online communities, users use comments to exchange their opinions and feelings on various subjects. Communication based on comments is quick and convenient, but sometimes this light-weight characteristic makes users use impolite and aggressive words, which leads to an online conflict. Therefore, it is important to analyze and classify users according to their characteristics in order to predict and take action for this kind of troubles. In this paper, we present several quantitative measures for describing the structures of comments trees based on the assumption that the user characteristics be observed as a form of some structural feature in comment trees of articles in which they posted comments. We examine the distribution of the proposed measures over article posters and commenters, and in addition, we show the effectiveness of the presented structural features by conducting experiments to classify users who have received warnings of the administrator from benign users.

Participation Level in Online Knowledge Sharing: Behavioral Approach on Wikipedia (온라인 지식공유의 참여정도: 위키피디아에 대한 행태적 접근)

  • Park, Hyun Jung;Lee, Hong Joo;Kim, Jong Woo
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.97-121
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    • 2013
  • With the growing importance of knowledge for sustainable competitive advantages and innovation in a volatile environment, many researches on knowledge sharing have been conducted. However, previous researches have mostly relied on the questionnaire survey which has inherent perceptive errors of respondents. The current research has drawn the relationship among primary participant behaviors towards the participation level in knowledge sharing, basically from online user behaviors on Wikipedia, a representative community for online knowledge collaboration. Without users' participation in knowledge sharing, knowledge collaboration for creating knowledge cannot be successful. By the way, the editing patterns of Wikipedia users are diverse, resulting in different revisiting periods for the same number of edits, and thus varying results of shared knowledge. Therefore, we illuminated the participation level of knowledge sharing from two different angles of number of edits and revisiting period. The behavioral dimensions affecting the level of participation in knowledge sharing includes the article talk for public discussion and user talk for private messaging, and community registration, which are observable on Wiki platform. Public discussion is being progressed on article talk pages arranged for exchanging ideas about each article topic. An article talk page is often divided into several sections which mainly address specific type of issues raised during the article development procedure. From the diverse opinions about the relatively trivial things such as what text, link, or images should be added or removed and how they should be restructured to the profound professional insights are shared, negotiated, and improved over the course of discussion. Wikipedia also provides personal user talk pages as a private messaging tool. On these pages, diverse personal messages such as casual greetings, stories about activities on Wikipedia, and ordinary affairs of life are exchanged. If anyone wants to communicate with another person, he or she visits the person's user talk page and leaves a message. Wikipedia articles are assessed according to seven quality grades, of which the featured article level is the highest. The dataset includes participants' behavioral data related with 2,978 articles, which have reached the featured article level, with editing histories of articles, their article talk histories, and user talk histories extracted from user talk pages for each article. The time period for analysis is from the initiation of articles until their promotion to the featured article level. The number of edits represents the total number of participation in the editing of an article, and the revisiting period is the time difference between the first and last edits. At first, the participation levels of each user category classified according to behavioral dimensions have been analyzed and compared. And then, robust regressions have been conducted on the relationships among independent variables reflecting the degree of behavioral characteristics and the dependent variable representing the participation level. Especially, through adopting a motivational theory adequate for online environment in setting up research hypotheses, this work suggests a theoretical framework for the participation level of online knowledge sharing. Consequently, this work reached the following practical behavioral results besides some theoretical implications. First, both public discussion and private messaging positively affect the participation level in knowledge sharing. Second, public discussion exerts greater influence than private messaging on the participation level. Third, a synergy effect of public discussion and private messaging on the number of edits was found, whereas a pretty weak negative interaction effect of them on the revisiting period was observed. Fourth, community registration has a significant impact on the revisiting period, whereas being insignificant on the number of edits. Fifth, when it comes to the relation generated from private messaging, the frequency or depth of relation is shown to be more critical than the scope of relation for the participation level.

Study of a PBL-instructional model using an SNS-based online platform (SNS기반 온라인플랫폼을 활용한 PBL-수업모형 연구)

  • Choi, Dea-Hun;Cho, Woo-Hong;Byon, Kil-Hee;Yun, Kyoung-Mi
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.125-126
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    • 2021
  • 본 연구는 대학교육에서 학습자 주도수업에 대표적으로 활용되는 PBL-교수학습방법을 SNS기반 온라인 플랫폼에서의 과제수행을 통해 해결하는 PBL-수업모형을 개발하는 것을 목표로 한다. 이를 위해 선행연구 및 이론탐색을 통해 PBL-수업설계에 대한 선행연구를 고찰하고, 적용 가능한 수업모형 및 교육내용을 선정하여 기초내용을 구성한 후 3인의 교육공학 전문가와 5인의 대학교수를 대상으로 FGI 인터뷰 방법을 통하여 연구결과를 도출한다. 과거 PBL-교수학습방법을 적용한 수업설계 들이 모의수행이나 발표 후 토론에 한정되었던 것에 반해 본 연구에서는 SNS기반 온라인 플랫폼에 직접 적용하는 매체제작 및 커뮤니티 활동을 포함하는 수업활동이 도출 되었으며, 실행 가능한 수업모형 개발을 위해 대상자 인터뷰와 분석을 통해 이를 위한 교수학습방법을 설정할 것이다. 본 연구를 통해 제시될 SNS기반 온라인 플랫폼을 활용한 PBL-학습모형은 이후 고등교육기관의 교수학습모형 개발을 위한 기초자료로 활용될 것이다

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Design and Implementation of Web Based Collaborative Learning System for Interactivity among Learners (e러닝 환경에서 학습자간 상호작용활동 증진을 위한 웹 기반 협동학습 시스템 설계 및 구현)

  • Lee, Dong-Hoon;Lee, Sang-Kon;Lee, Ji-Yeon
    • 한국IT서비스학회:학술대회논문집
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    • 2007.11a
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    • pp.357-362
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    • 2007
  • 본 연구는 e러닝 환경에서 웹 기반 학습자간 상호작용 학습증진을 위한 스터디 그룹 활동지원시스템 개발을 위한 실질적 사례를 제시하는 데 있다. e러닝 환경 웹 기반학습의 단점을 보완하기 위하여 함께 학습이 가능하도록 제안되었고, 학습자들간의 상호작용을 증진시킬 수 있는 자료실 정보교환, 화상토론, 동영상강좌 동시 시청 가능도 설계되었다. 대학생 254명 대상 49개 그룹으로 학습자간의 상호작용을 통한 학습만족도를 조사하고 그 결과를 분석 해보았다. 또한 협동학습을 통한 스터디 그룹 활동은 개인별 상호작용 활동지수로 나타내어 학습만족도와의 상관관계를 증가시킬 수 있는 하나의 온라인 학습 커뮤니티 모형을 제시함으로서 e러닝 사이트나 학습 시스템을 설자하고 구현하는데 참고가 될 수 있으리라 기대한다.

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Prediction Model for Popularity of Online Articles based on Analysis of Hit Count (온라인 게시글의 조회수 분석을 통한 인기도 예측)

  • Kim, Su-Do;Cho, Hwan-Gue
    • The Journal of the Korea Contents Association
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    • v.12 no.4
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    • pp.40-51
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    • 2012
  • Online discussion bulletin in Korea is not only a specific place where user exchange opinions but also a public sphere through which users discuss and form public opinion. Sometimes, there is a heated debate on a topic and any article becomes a political or sociological issue. In this paper, we propose how to analyze the popularity of articles by collecting the information of articles obtained from two well-known discussion forums such as AGORA and SEOPRISE. And we propose a prediction model for the article popularity by applying the characteristics of subject articles. Our experiment shown that the popularity of 87.52% articles have been saturated within a day after the submission in AGORA, but the popularity of 39% articles is growing after 4 days passed in SEOPRISE. And we observed that there is a low correlation between the period of popularity and the hit count. The steady increase of the hit count of an article does not necessarily imply the final hit count of the article at the saturation point is so high. In this paper, we newly propose a new prediction model called 'baseline'. We evaluated the predictability for popular articles using three models (SVM, similar matching and baseline). Through the results of performance evaluation, we observed that SVM model is the best in F-measure and precision, but baseline is the best in running time.

An Ethnographic Study on the Digital Literacy Practices of Role-Players in a Massively Multiplayer Online Role-Playing Game (대규모 멀티 플레이어 온라인 롤 플레잉 게임 참여자의 디지털 리터러시 활용 관행에 관한 민족지학적 연구)

  • Hollister, Jonathan M.
    • Journal of Korean Library and Information Science Society
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    • v.50 no.4
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    • pp.429-467
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    • 2019
  • Various digital literacy and critical competencies are crucial for success in the information and media-rich 21st century game of life. This study explores and describes the digital literacy practices of role-players in WildStar, a science fantasy Massively Multiplayer Online Role Playing Game (MMORPG). Active role-players create and participate in group-driven interactive stories while in-character. A hybrid ethnographic method integrating overt participant observation and engagement, collection of community artifacts across multiple sites (such as wikis, discussion boards, and social media), and semi-structured interviews was employed to understand how role-players seek, use, evaluate, and manage information, media, and technology. Role-players used various media and technologies to supplement, simplify, and make role-playing more immersive. The relative digital literacy skill levels of individuals varied, leading role-players to leverage the skills of more proficient or experienced community members. Given the broad appeal of online games and educational benefits of role-playing, implications and applications for digital literacy skills instruction and library programming are also discussed.