• Korean journal of communication and information
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• v.39
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• pp.102-139
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• 2007

This research studied how political online discussion participation and experiencing opinion disagreement during the discussion affect on civic attitudes(interpersonal trust and reciprocity) and civic participation through pretest-posttest control group experimental treatment. For results, first of all, online political discussion positively affects on civic attitude of participants, but it's effect was partial. Next, experiencing opinion disagreement can help to have rather improving civic attitude than reducing civic attitude. Finally, civic attitude consists of interpersonal trust and reciprocity acquired from online discussion also partially and positively affects on civic participation which is more affected by reciprocity than interpersonal trust. Regard to these effect of online discussion, civic attitude can be extended by participating political communication(discussion), and participating communicative associations lead to encourage civic attitude of them and function to reinforce social integration and social ties.

• Journal of Contemporary Eastern Asia
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• v.20 no.2
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• pp.1-18
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• 2021

This study investigates the influence of social network services (SNS) and political podcasts on youth participation in candlelight rallies leading up to the impeachment of the Korean president. It also examines the effect of SNS and podcasts on online participation through SNSs. It was found that engaging in political discussions with friends or parents and news media use, including TV and Internet newspapers, exerted a major positive influence on participation in the rallies. However, SNS had a negative influence, while podcasts did not have a significant effect. On the other hand, SNS and podcasts had a positive influence on online participation. The results of structural equation modeling showed that SNS and podcasts affected SNS participation in the mediation of political discussion and political efficacy.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.4 no.2
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• pp.205-209
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• 2018

In this paper, we design and implement a political online platform using smartphones. This platform is consisted of monitoring of members of the National Assembly, monitoring of legislation, and participating in several issues. It is implemented as an AWS server, DB and an Android applications. Especially, we update the political information in real time by using Open API and Naver API. This system will be well applied to the division in discussion and sharing of thinking about legislation and political issues.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.575-582
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• 2020

We proposes a method to estimate political preference of users who write comments on internet news. We collected and analyzed a massive amount of new comment data from internet news to extract features that effectively characterizes political preference of users. We expect that it helps user to obtain unbiased information from internet news and online discussion by providing estimated political stance of news comment writer. Through comprehensive tests we prove the effectiveness of two proposed methods, lexicon-based algorithm and similarity-based algorithm.

• Korean journal of communication and information
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• v.44
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• pp.108-143
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• 2008

Candidate images refer to a holistic impression of a candidate which is composed of various dimensions of attributes. This study investigated how online and offline news media, campaign media such as political ads, televised debates, and candidate web-sites, and interpersonal political talk influenced voters' images of a candidate in such dimensions as personal traits, job-performance abilities, and policy capabilities, and further their political decision making in the 17th presidential election in Korea. The analysis focused on President Lee, Myung Bak who won the election by obtaining nearly 50% of the effective votes. According to the data analyses, first, uses of offline newspapers positively influenced voters' images of candidate Lee's personal traits such as his morality, integrity, trustworthiness, and compassion, yet online news uses had an opposite effect on voters' impression of his job-performance and economic policy capabilities. Secondly, among various campaign media, television ads and candidate web-sites positively contributed to the formation of candidate Lee's images, yet showed little direct effect on vote choice, indicating that campaign media mainly indirectly influenced voters' political decision making. Each of the first, second, and third televised candidate debates revealed unique effects on image formation and vote choice. Thirdly, the network size and frequency of political talk negatively influenced image formation regarding candidate Lee's personal traits and economic policy capabilities, yet the discussion network size positively contributed to the Lee votes. Forth, among various dimensions of candidate images, voters' perceptions of candidate Lee's personal traits appeared to be the most significant predictor of the support for him.

• Korean journal of communication and information
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• v.73
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• pp.7-34
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• 2015

This study attends to the effects of political entertainment as a newly emerging television genre on citizens' political talk. Particularly, this study suggests audience involvement and political information efficacy as key psychological factors that mediate the relationship between political entertainment and political discussion. More specifically, audience involvement was deemed as a conclusive concept that consists of such sub-dimensions as audience identification and parasocial interaction with program characters and transportation into the messages. Among 317 participants in an online survey, a total of 273 subjects, who had at least some viewing experience with political entertainment TV programs, were included in the final analysis. According to the findings, softer programs that piggyback political information on top of their entertainment content were more likely to increase viewers' identification and transportation. The viewer experience of identification further heightened the level of political information efficacy, which in turn positively contributed to one's willingness to participate in political talk and to hear the other side. It also appeared that political information efficacy significantly mediated the relationship between political entertainment viewing and political talk.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.150-161
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• 2019

This study analyzed the impact of social trust and conflict perception of news users on news use. To this end, 548 adults aged 20 and under 69 were surveyed online. The analysis results are as follows. First, the level of awareness of social conflict has been shown according to people's political orientation. Second, the higher the trust in society, the greater the use of news regardless of land-based, comprehensive, and online channels. Third, the perception of social conflict was related to the use of news through JTBC, TV Chosun, Channel A and YouTube. Fourth, the age and political orientation of news users influenced the use of news by channel. Finally, the more progressive the tendency was to use news through JTBC or to watch news on portals. On the other hand, the more progressive the use of news through three terrestrial broadcasters, TV Chosun, and Channel A decreased. In conclusion, this study is meaningful in terms of the user-oriented discussion of the news environment and the impact of an individual's social perception on news use.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.391-406
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• 2024

The current distribution of digital news has the potential to produce politically biased information for users as a result of individual choices and media selection based on those choices. Consequently, this research explored the factors affecting individual news selection and the effects of opinion changes and political participation that can occur when news tailored to users' partisan preferences is recommended. The phenomenon of selective exposure has been shown to be stronger when individuals utilize more limited information processing, experience higher discussion efficacy among groups with similar political beliefs. Furthermore, When a selective exposure group was randomly provided with a one-way message news that matched their partisan leanings, it was found that opinion consolidation, opinion-reinforcing information processing, and online political participation. On the other hand, when they were randomly presented with two-way messaging news in which the media balanced two competing partisan positions, they were found to be more likely to understand the other side's views and arguments, and more willing to adjust their existing opinions. We are confirmed that the balanced use of various opinions is very important in deliberative democratic process.