• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.141-156
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• 2013

Social media is a representative form of the Web 2.0 that shapes the change of a user's information behavior by allowing users to produce their own contents without any expert skills. In particular, as a new communication medium, it has a profound impact on the social change by enabling users to communicate with the masses and acquaintances their opinions and thoughts. Social media data plays a significant role in an emerging Big Data arena. A variety of research areas such as social network analysis, opinion mining, and so on, therefore, have paid attention to discover meaningful information from vast amounts of data buried in social media. Social media has recently become main foci to the field of Information Retrieval and Text Mining because not only it produces massive unstructured textual data in real-time but also it serves as an influential channel for opinion leading. But most of the previous studies have adopted broad-brush and limited approaches. These approaches have made it difficult to find and analyze new information. To overcome these limitations, we developed a real-time Twitter trend mining system to capture the trend in real-time processing big stream datasets of Twitter. The system offers the functions of term co-occurrence retrieval, visualization of Twitter users by query, similarity calculation between two users, topic modeling to keep track of changes of topical trend, and mention-based user network analysis. In addition, we conducted a case study on the 2012 Korean presidential election. We collected 1,737,969 tweets which contain candidates' name and election on Twitter in Korea (http://www.twitter.com/) for one month in 2012 (October 1 to October 31). The case study shows that the system provides useful information and detects the trend of society effectively. The system also retrieves the list of terms co-occurred by given query terms. We compare the results of term co-occurrence retrieval by giving influential candidates' name, 'Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn' as query terms. General terms which are related to presidential election such as 'Presidential Election', 'Proclamation in Support', Public opinion poll' appear frequently. Also the results show specific terms that differentiate each candidate's feature such as 'Park Jung Hee' and 'Yuk Young Su' from the query 'Guen Hae Park', 'a single candidacy agreement' and 'Time of voting extension' from the query 'Jae In Moon' and 'a single candidacy agreement' and 'down contract' from the query 'Chul Su Ahn'. Our system not only extracts 10 topics along with related terms but also shows topics' dynamic changes over time by employing the multinomial Latent Dirichlet Allocation technique. Each topic can show one of two types of patterns-Rising tendency and Falling tendencydepending on the change of the probability distribution. To determine the relationship between topic trends in Twitter and social issues in the real world, we compare topic trends with related news articles. We are able to identify that Twitter can track the issue faster than the other media, newspapers. The user network in Twitter is different from those of other social media because of distinctive characteristics of making relationships in Twitter. Twitter users can make their relationships by exchanging mentions. We visualize and analyze mention based networks of 136,754 users. We put three candidates' name as query terms-Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn'. The results show that Twitter users mention all candidates' name regardless of their political tendencies. This case study discloses that Twitter could be an effective tool to detect and predict dynamic changes of social issues, and mention-based user networks could show different aspects of user behavior as a unique network that is uniquely found in Twitter.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.11a
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• pp.18-20
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• 2015

본 논문은 마그네틱 센서 기반의 오브젝트 추적 기술을 이용한 혼합현실 선거 방송 시스템을 제안한다. 마커 기반의 증강현실 기술은 방송환경에서는 강한 조명으로 인하여 마커의 특징점 추출의 간섭 및 소실로 추적이 끊기는 문제가 있다. 특히, 선거방송와 같은 생방송 중에 그래픽이 튀거나 사라지는 것은 방송 사고와 다름없다. 따라서, 우리는 조명이나 가림의 영향 없이 추적 성능을 강인하게 하기 위해서, 무선의 마그네틱 센서를 내장한 별도로 제작한 투표함 모형을 추적하도록 하였다. 본 논문에서는 마그네틱 센서를 내장한 실물 투표함을 실시간으로 추적하게 하고, 그 정보를 증강현실 방송 시스템과 통합한 시스템 구성 및 그것을 이용한 증강현실 선거 방송 어플리케이션을 보여준다. 그 결과, 연기자가 선거정보그래픽과 연동하는 투표함을 자유롭고 직관적으로 움직일 수 있었으며, 자연스러운 증강현실 합성 결과를 얻을 수 있었다.

• Informatization Policy
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• v.28 no.4
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• pp.19-35
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• 2021

The purpose of this research is to investigate the attributes of the online world and to analyze their influence on democracy. The research focuses on the mayoral by-elections that were held in Seoul and Busan, South Korea, on April 4, 2021. The study demonstrates the characteristics of online spaces and the polarization of the online public through news articles and user comments from the Internet. The research includes topic modeling to measure the diversity of media reports, sentiment analysis to measure online public opinion, and interrupted time series analysis to understand how a particular event influences online attitudes. A combination of these methods is used to attempt to estimate the strength of political polarity in the online environment. The study shows diverse media reports by election region and candidate, where the online public repeatedly reveals high negative and low positive attitudes towards each candidate. Moreover, political polarity can differ based on the level of interest in an election. Although voters pay less attention to a by-election than a presidential election, there is a solid political polarity in the online world. Hence, the research recommends preparing measures to alleviate the polarization as politics requires significant online participation.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1999.06a
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• pp.213.1-218
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• 1999

A virtual studio is a new video production environment using interactive computer graphics and imaging media technology. The traditional chroma-keying with two-dimensional background is replaced by an advanced keying method with a dynamic computer-generated, three-dimensional background. We have developed a virtual studio system that is practical to use in the real production environment. It has not only essential features that are common among various commercial virtual studio systems, but also unique feature that help the producer to construct virtual studio sets and scenarios efficiently such as span graph, robust backup controller, and 3 dimensional character generator supporting all languages. Our virtual studio system was used in live broadcasting and proved that the system was practical enough. In this paper, we will introduce the structure and the major features of our system, called VdreamSet, and application examples to broadcasting.

• Journal of dental hygiene science
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• v.9 no.1
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• pp.69-74
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• 2009

The purpose of this study is to investigate the actual attitude of the major newspapers and broadcastings about public health policy during last $17^{th}$ presidential election and $18^{th}$ election for a member of the National Assembly and apply it to the study of procedure of making decision of policy as a fundamental data. Two researchers surveyed and analyzed all articles from three broadcasting stations, KBS, MBC, and SBS, and from four newspaper companies, Donga, Jungang, Chosun, and Hangyoreh. Among the major articles, the articles related to policies are ranked in last (10.8%). And among the reported 284 articles related to the policies, the social section (75 articles, 26.4%) and the economic section (73 articles, 25.7%) took part of over 50% of all. However, the articles related to public health policy took part of only 9.9% (28 articles). Among the articles of public health policy, the articles related to the cost of the medical service were ranked in the first (39.3%). Therefore, to solve the problems of the major public health policy, it needs effort to develop the public health policy and use the media to realize the developed policies.

• Survey Research
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• v.12 no.1
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• pp.31-63
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• 2011

This study is to make an effective forecasting model for turn-out rates of the candidates with their visibilities, which are measured in their names on the media during the election period. I make a regressive model, with the data of 2010 gubernatorial election in Korea, where turn-out rate is dependent variable and each candidate's visibility, incumbency effect, local control party effect, corruption effect, strategy voting effect, restrain effect as a mid-term evaluation, and policy effect are independent variables. I got the model, T = -4.65 + 1.02V + 16.90 I + 16.78L - 9.12 R, where T is turn-out rate, V is candidate's visibility, I is incumbent effect, L is local control party effect, and R is restrain effect. This function can be used to predict turn-out rates of the candidates in the forthcoming gubernatorial election in Korea at a small outlay.

• SUVANNABHUMI
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• v.15 no.2
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• pp.271-303
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• 2023

In 1991, Malaysia, under the leadership of then-Prime Minister Mahathir Mohamad, launched an ambitious 30-year national development program known as Vision 2020. The goal of this program was to transform Malaysia into a First World developed nation by the year 2020. One of the aspirations of the program was to create a psychologically liberated, secure, ethical, and mature democratic society. Vision 2020 is a failure and Malaysia is still not a mature democracy. This article identifies four main areas that make up a flawed democracy practiced in Malaysia, and shows how they work against the country's aspirations to become a developed nation. The electoral system is rigged to help the incumbent remain in power. The widespread practices of money politics have become a curse to the country. The press and media organizations are restricted. Civil society activities are suppressed. As a result of these issues, Malaysia will not be able to achieve the status of a developed nation, lacking democratic accountability and inclusive institutions.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.95-98
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• 2016

민주주의의 꽃, 제 20 대 국회의원 선거가 막을 내렸다. 지난 선거에서는 방송사뿐만 아니라 정당들도 엄청난 비용 지출과 노력이 소요되었다. 한 예로, 지난 4. 13 총선거 (제 20 대 국회의원)에서 방송 3 사 출구조사 비용으로 약 66 억원 이상이 지출됐다. 그리고 정당에서는 여론조사 비용으로 약 70 억원 이상을 지출했다. 이러한 큰 비용 지출과, 담당자들의 노력을 줄이기 위해 본 논문에서는 텍스트 마이닝과 감정분석을 적용한 후보 당선자 예측 어플리케이션을 제안한다. 첫째, 소셜 그래프 모델을 소개하여 지역 구조를 발견한다. 둘째, 텍스트 마이닝 기법을 이용하여, 후보자 관련 데이터를 가공한다. 셋째, 텍스트 감정 분석을 통해 후보자의 정보를 수치화 한다. 본 논문의 성능과 효율성을 평가하기 위해, 제 20 대 국회의원 선거에 사례연구를 진행하였다. 제안한 방법이 정확도와 수학적 통계 검증을 통해 가치 있는 효율성을 보였다. 선거방송을 위한 후보자 예측 도구의 도입으로 향후 선거(방송)에서의 큰 비용과 노력을 줄이는데 도움을 줄 것이라 기대한다.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.47-54
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• 2018

The purpose of this study is to explore a difference in crisis between media and parties. This research examined political crisis situation, crisis response, and media coverage using a case. Two main political parties in Korean faced the illegal fund raising case during the 16th presidential election. They used types of crisis response strategies for restoring or maintaining their reputation. This study found that a party's crisis response was consistent with news media, but another party's message was significantly different from news media. Such match or mismatch between a party and news media will influence on public evaluation toward a crisis response. This study has meaningful contribution in that the difference between an organizational crisis response message and news media coverage is significant.

• Journal of Korean Academy of Nursing Administration
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• v.20 no.3
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• pp.342-352
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• 2014

Purpose: The purpose of this study was to identify how political interest, efficacy and media usage influence political participation in hospital nurses. Methods: Participants were 286 nurses, who were informed of the study purpose and agreed to participate. Data were collected during November and December, 2012 using a questionnaire on political interest, political efficacy, media usage and political participation. Data were analyzed using t-test, ANOVA, Scheff$\acute{e}$'s test, Pearson Correlation Coefficients, and Multiple Stepwise Regression. Results: Scores for political participation and political interest was average. The score for political efficacy was higher than average. Political participation was significantly different by education level, job career, position, and intention to vote in the election for the 18th President. Political participation had a moderate positive correlation with political interest (r=.50, p<.001), political efficacy (r=.32, p<.001) and media usage (r=.14, p=.022). Political interest (${\beta}$=.43) was the factor most influential on political participation, explaining 25% of the variance. A total of 32% of political participation was explained by political interest, political efficacy, and TV news or SNS for media use. Conclusion: The results suggest that it is necessary to develop strategies to promote political interest and political efficacy for hospital nurses to improve political participation.