• Journal of the Korea Society of Computer and Information
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• v.19 no.11
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• pp.137-147
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• 2014

The study aims at exploring motivation, rationale, and values in twitter users' retweet behavior. It proposes that diffusion of message is based on the complex interactional relationships among attributes of original message, user's rationale, and values. Based on a pilot study, we constructed a total of 34 questions asking message attributes, motivation, and values of retweeting. Then, twitter users participated in an online survey, in which they evaluate their own 5 retweet messages based on the constructed questions(5 messages ${\times}$ 34 questions = 170). Then, a factor analysis is done in order to see the dimensions of the concepts in retweet behavior; and understand how message attributes, motivations, and values are inter-related with each other. The main factors extracted were: (1) public fairness, (2) fun and playfulness, (3) communal help, (4) news and information, etc. Factor 2 and 4 show the traditional journalism characteristics; while factor 1 and 3 do alternative journalistic values. The latter may work as a rectifying factors for traditional journalism; however, backfiring mechanism for group polarization. In addition, (1) users' internal identities, (2) communal unity and (3) belongness were identified as rationales and values for retweet behavior.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.4
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• pp.386-391
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• 2015

This paper proposed the optimal attributes for text classification based on Korean and Chinese linguistic features. The experiments committed to discover which is the best feature among n-grams which is known as language independent, morphemes that have language dependency and some other feature sets consisted with n-grams and morphemes showed best results. This paper used SVM classifier and Internet news for text classification. As a result, bi-gram was the best feature in Korean text categorization with the highest F1-Measure of 87.07%, and for Chinese document classification, 'uni-gram+noun+verb+adjective+idiom', which is the combined feature set, showed the best performance with the highest F1-Measure of 82.79%.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.41-51
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• 2020

A series of corporate failures and financial crises have raised attention to organizational governance issues, especially for financial institutions. In the banking system, corporate governance further plays a unique role because of the uniqueness of the banking organizations. Therefore, this study aims to examine the effect of corporate governance disclosure on bank performance by building a corporate governance disclosure index (CGDI) for 10 Islamic banks operating in Iran, Saudi Arabia and Malaysia. The data used in this study are secondary data taken from annual reports and sourced from the official websites of each banks include Iran Exchange, Stock Market Quotes and Financial News, and Bursa Malaysia. This study uses content analysis of the annual bank report within five years (2014-2018). The results show that Islamic banks comply with 72.4% of the attributes discussed in the CGDI. The most frequently reported and disclosed elements are board structure and audit committee. The regression results provide evidence that Islamic banks with a higher level of corporate governance disclosure reported high operating performance measured by ROA. In contrast to the expectation, the financial performance of ROE and Tobins'q are not significantly related to the disclosure of sharia bank governance.

• Cross-Cultural Studies
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• v.39
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• pp.97-125
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• 2015

Significance of the R16 Korea Contest as Culture Contents. Known for relentless practice and intense moves, widespread presence on the Internet, strong ethnic elements highlighting Korean physical attributes and collective culture, b-boying occupies a special place in Korea today. News of four consecutive wins in major b-boy contests around the world have changed the common public conception that b-boys are simply a group of problem boys and students in hip-hop clothes intent on showing off their dance moves. B-boying is no longer perceived as a dance that is performed in the shadowy underground but as a dynamic and beautiful art form of physical expression that is part of today's popular culture. This paper examines the significance of R-16 Korea as culture contents and its main event, the World B-boy Masters Championship. It introduces how the contest has developed since 2007 to reach popular influence and gain international recognition. The paper also compares R-16 Korea to the world's four major b-boy contests, Battle Of The Year, UK B-boy Championship, Free Style Session, and Red Bull BC One to see if any distinctions could be found among them and to evaluate the significance of R-16 Korea as cultural content in its rise to one of the world's top 5 major b-boy contests. Finally, this study makes suggestions for b-boying to become more established as part of Korea's culture contents.

• Korean journal of communication and information
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• v.34
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• pp.132-160
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• 2006

The main purpose of this study is based on the comparative analysis over news framing of the family headship(Hoju) abolition in Korean society. This study examined the newspaper articles involving the Hoju abolition, which had been printed on the three major dailies, Chosun, Kukmin, Hankyoreh through February of 1990 to July of 2005. First, the news articles were analyzed and classified on the basis of their lengths, news types, main characters, news framing and systematic framing. Second, the articles that this study looked into were divided into the five major periods when the issue of the Hoju abolition in Korean society surfaced as a main social agenda to be discussed. Third, the main differences between the noticeable frame and unnoticeable frame in each period were analyzed through the three different perspectives which can also can be sub-divided into the six different attributes. This study found that the Hoju abolition as an attribute had developed into political, legal and social fields. The analysis of the research shows that the articles related to the patriarchy abolition showed more dominant frame which reflected the social change or the general tendency of the times. However, the analysis indicates that the articles in the level of an attribute included more dominant frame which mirrored a male chauvinism society. It also points out that the articles contained more dominant frame which was be used as a standard to find out the readers' political inclination. The articles also showed the dominant frame which included the revision and legal process of family laws before presidential or general election campaigns. The study also found that there were major differences among the three dailies. First of all, Chosun, regarded the Hoju as a custom by stressing that 'it is necessary to keep Hoju system to intensify the role and crisis of family if the Hoju will be abolished'. However, Hankyoreh recognized the issue as an important one to improve feminism and female rights by maintaining that 'it is the time to balance the inequality out between men and women with the abolition of patriarchy'. Finally, Kukmin treated the issue as an first step to acknowledge the dignity of females by emphasizing that 'a revision of the law is essential to accept the changing ethics of the times'.

• 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.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.499-510
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• 2020

This study aims to analyze the causes of Internet hate speech, which has recently been emerging as a serious social problem and to seek for countermeasures. The experiences of hate speech are examined through the analysis of college students' essays and the causes and solutions of hate speech are suggested through the in-depth interviews with the experts. College students experience hate speech on the Internet on the basis of attributes such as age, gender, sexual orientation, and regionalism. Online comments on news, social media and online games are the main sources in spreading hate speech. On a personal level the lack of awareness of human dignity and the absence of media education are diagnosed as the reasons for online hate speech. The social reasons for online hate speech lie in the lack of human rights education and the problems of the media. In order to improve the problems of Internet hate speech, various suggestions are proposed on the legal, social and educational levels.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.229-237
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• 2021

This paper aims to study the using motivation and influencing factors of Chinese users' participation in live stream shopping through theoretical and empirical analysis, so as to evaluate the change in users' needs and improve marketing strategies. In doing so, I conducted a questionnaire survey for Chinese live stream shopping users and collected the required data. For empirical analysis, I used SPSS and AMOS software to carry out descriptive analysis, reliability and validity analysis and structural equation model analysis (SEM) to test the hypothesis. The results of the analysis showed that core competency and brand personality of the short video industry have a significant impact on user and customer perceived value, thus influencing users' using motivation. That is, users do not blindly follow live stream shopping but make their active choice. Therefore, it is suggested that live stream shopping platform should strengthen the e-commerce attributes and eradicate "the sense of false satisfaction", in order to achieve the effective communication of information. On the other hand, to stimulate the purchase motivation of users, the brand should build up its personality, and enhance user and customer perceived value in cyber marketing.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.375-380
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• 2022

The purpose of this study is to find out consumers' perception and meaning of convenience store convenience food by using big data. For this study, NNAVER and Daum analyzed news, intellectuals, blogs, cafes, intellectuals(tips), and web documents, and used 'convenience store convenience food' as keywords for data search. The data analysis period was selected as 3 years from January 1, 2019 to December 31, 2021. For data collection and analysis, frequency and matrix data were extracted using TEXTOM, and network analysis and visualization analysis were conducted using the NetDraw function of the UCINET 6 program. As a result, convenience store convenience foods were clustered into health, diversity, convenience, and economy according to consumers' selection attributes. It is expected to be the basis for the development of a new convenience menu that pursues convenience and convenience based on consumers' meaning of convenience store convenience foods such as appropriate prices, discount coupons, and events.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.193-215
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• 2016

In recent years, the proliferation of diverse social networking services has led users to use many mediums simultaneously depending on their individual purpose and taste. Besides, while collecting information about particular themes, they usually employ various mediums such as social networking services, Internet news, and blogs. However, in terms of management, each document circulated through diverse mediums is placed in different categories on the basis of each source's policy and standards, hindering any attempt to conduct research on a specific category across different kinds of sources. For example, documents containing content on "Application for a foreign travel" can be classified into "Information Technology," "Travel," or "Life and Culture" according to the peculiar standard of each source. Likewise, with different viewpoints of definition and levels of specification for each source, similar categories can be named and structured differently in accordance with each source. To overcome these limitations, this study proposes a plan for conducting category mapping between different sources with various mediums while maintaining the existing category system of the medium as it is. Specifically, by re-classifying individual documents from the viewpoint of diverse sources and storing the result of such a classification as extra attributes, this study proposes a logical layer by which users can search for a specific document from multiple heterogeneous sources with different category names as if they belong to the same source. Besides, by collecting 6,000 articles of news from two Internet news portals, experiments were conducted to compare accuracy among sources, supervised learning and semi-supervised learning, and homogeneous and heterogeneous learning data. It is particularly interesting that in some categories, classifying accuracy of semi-supervised learning using heterogeneous learning data proved to be higher than that of supervised learning and semi-supervised learning, which used homogeneous learning data. This study has the following significances. First, it proposes a logical plan for establishing a system to integrate and manage all the heterogeneous mediums in different classifying systems while maintaining the existing physical classifying system as it is. This study's results particularly exhibit very different classifying accuracies in accordance with the heterogeneity of learning data; this is expected to spur further studies for enhancing the performance of the proposed methodology through the analysis of characteristics by category. In addition, with an increasing demand for search, collection, and analysis of documents from diverse mediums, the scope of the Internet search is not restricted to one medium. However, since each medium has a different categorical structure and name, it is actually very difficult to search for a specific category insofar as encompassing heterogeneous mediums. The proposed methodology is also significant for presenting a plan that enquires into all the documents regarding the standards of the relevant sites' categorical classification when the users select the desired site, while maintaining the existing site's characteristics and structure as it is. This study's proposed methodology needs to be further complemented in the following aspects. First, though only an indirect comparison and evaluation was made on the performance of this proposed methodology, future studies would need to conduct more direct tests on its accuracy. That is, after re-classifying documents of the object source on the basis of the categorical system of the existing source, the extent to which the classification was accurate needs to be verified through evaluation by actual users. In addition, the accuracy in classification needs to be increased by making the methodology more sophisticated. Furthermore, an understanding is required that the characteristics of some categories that showed a rather higher classifying accuracy of heterogeneous semi-supervised learning than that of supervised learning might assist in obtaining heterogeneous documents from diverse mediums and seeking plans that enhance the accuracy of document classification through its usage.