• Korean journal of communication and information
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• v.26
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• pp.105-134
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• 2004

This longitudinal study examines changing factors readers of online newspaper on 1999 and 2004. In terms of Users and Gratification approach, this survey explore changing what is motives of online newspaper readers, using and satisfying of online news during five years. The factor analysis of Online newspaper's reading motive statements yielded three interpretable factors: 'informativeness-convenience', 'inter-activity', 'entertainment'. First, 'informativeness-convenience' on 2004 was lower than '99 in online newspaper reading motives and satisfying, but factor of 'interactivity' and 'entertainment' measured thar 2004 was higher than '99 in chat of online newspaper. A level of reading online newspaper on 2004 is lower than '99, 'people' and 'opinion' is highest reading online newspaper item. Bur that of '99 is 'top news' and 'political news'. 'Top news', 'economics' and 'infor-mation/science' is highest satisfying level of online news item on '99, but that of order changed into 'people'. 'opinion' and 'broadcasting/enter-tainments' on 2004. In conclusion, this study shows online newspaper readers perceived interactive service and entertainment factor.

• Journal of Contemporary Eastern Asia
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• v.18 no.2
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• pp.33-48
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• 2019

The current Moon Jai-in administration in South Korea is facing serious challenges as a result of a scandal involving the manipulation of news online. Staff in Moon's camp are suspected of manipulating public opinion by creating millions of fake news comments online, contributing to Moon being elected president. This South Korean political scandal raises a number of theoretical issues with regard to new platform technologies and media manipulation. First, the incident exposes the technological limits of blocking manipulation of the news, partly because of the nature of social media and partly because of the nature of contemporary technology. Contemporary social media is often monopolistic in nature; with the majority of people are using the same platforms, and hence it is likely that they will be subject to forms of media manipulation. Second, the Korean case of news manipulation demonstrates a unique cultural aspect of Korean society. News comments and readers' replies have become a major channel of alternative news in Korea. This phenomenon is often designated as "reply journalism," since people are interested in reading the news replies of ordinary readers equally to reading news reports themselves. News replies are considered indicators of public opinion and are seen as affecting trias politica in Korean society. Third, the Korean incident of news manipulation implicates a new form of populism in the 21st century and the nature of democratic participation. This article aims to explicate key issues in media manipulation by including wider technological, cultural, and political aspects in the South Korean news media context.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.219-234
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• 2019

Fake news threaten democratic elections and causes social conflicts, resulting in major damage. However, the concept of fake news is hard to define, as there is a saying, "News is not fake, fake is not news." Fake news, however, has irreversible characteristics that can not be recovered or reversed completely through post-punishment of economic and political benefits. It is also rapidly spreading in the early days. Therefore, it is very important to preemptively detect these types of articles and prevent their blind proliferation. The existing countermeasures are focused on reporting fake news, raising the level of punishment, and the media & academia to determine the authenticity of the news. Researchers are also trying to determine the authenticity by analyzing its contents. Apart from the contents of fake news, determining the behavioral characteristics of the promoters and its qualities can help identify the possibility of having fake news in advance. The online community has a fake news interception and response tradition through its long-standing community-based activities. As a result, I attempted to model the fake news by analyzing the affirmation-denial analysis and posting behavior by securing the web board crawl of the 'M community' bulletin board during the 2017 Korean presidential election period. Random forest algorithm deemed significant. The results of this research will help counteract fake news and focus on preemptive blocking through behavioral analysis rather than post-judgment after semantic analysis.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.30-45
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• 2022

This study explored the issues of industrial mathematics in online news articles and online forums in Korea and the US by using text mining and compared the results. Text data about industrial mathematics were collected from news articles of Naver, a major portal site, and postings and replies on Clien as resources of Korea, and from news articles by the New York Times and CNN as well as postings and replies on Reddit as resources of the US. Structural topic modeling analyses were performed, the major results of which were as follows. First, news articles in Korea mainly dealt with the necessity of industrial mathematics and government support. On the contrary, the news articles in the US focused more on various fields where industrial mathematics fields were utilized. Second, in Korea, the same number of issues with different topics were discussed in news articles and online forums, whereas in the US more issues were covered in news articles than in online forums. It was suggested academic implications for researchers and practical implications for the government for settling industrial mathematics in Korea.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.321-329
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• 2016

This study aims at grasping the degree of change on the layout of newspaper through the analysis on the visualization of the Online Newspaper. It was analyzed on the basis of six dependent Online Newspapers. Six news companies' home pages and NAVER news homepage were compared and analyzed. As a result of the analysis, it has been found that the layout of the Online Newspaper has been changed rapidly through the visualization. Especially, the visualizations of some Online Newspaper have already reached the high level, and those of other newspapers are also under way rapidly. The visualization of the Online Newspaper is going on in the way that the size of images and the number of times of their being used in the news stories are increasing. Consequently, the visualization of the Online Newspaper follows the course of that of paper-based newspaper, and the relative importance of 'a newspaper that sees with an eye' to 'a newspaper that reads with an eye' grows bigger and bigger.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.53-74
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• 2018

Since South Korea has an economic structure that has a characteristic which market-dependent on overseas, the tourism industry is considered as a very important industry for the national economy, such as improving the country's balance of payments or providing income and employment increases. Accordingly, the necessity of more accurate forecasting on the demand in the tourism industry has been raised to promote its industry. In the related research, economic variables such as exchange rate and income have been used as variables influencing tourism demand. As information technology has been widely used, some researchers have also analyzed the effect of media on tourism demand. It has shown that the media has a considerable influence on traveler's decision making, such as choosing an outbound destination. Furthermore, with the recent availability of online information searches to obtain the latest information and two-way communication in social media, it is possible to obtain up-to-date information on travel more quickly than before. The information in online media such as blogs can naturally create the Word-of-Mouth effect by sharing useful information, which is called eWOM. Like all other service industries, the tourism industry is characterized by difficulty in evaluating its values before it is experienced directly. And furthermore, most of the travelers tend to search for more information in advance from various sources to reduce the perceived risk to the destination, so they can also be influenced by online media such as online news. In this study, we suggested that the number of online media posting, which causes the effects of Word-of-Mouth, may have an effect on the number of outbound travelers. We divided online media into public media and private media according to their characteristics and selected online news as public media and blog as private media, one of the most popular social media in tourist information. Based on the previous studies about the eWOM effects on online news and blog, we analyzed a relationship between the volume of eWOM and the outbound tourism demand through the panel model. To this end, we collected data on the number of national outbound travelers from 2007 to 2015 provided by the Korea Tourism Organization. According to statistics, the highest number of outbound tourism demand in Korea are China, Japan, Thailand, Hong Kong and the Philippines, which are selected as a dependent variable in this study. In order to measure the volume of eWOM, we collected online news and blog postings for the same period as the number of outbound travelers in Naver, which is the largest portal site in South Korea. In this study, a panel model was established to analyze the effect of online media on the demand of Korean outbound travelers and to identify that there was a significant difference in the influence of online media by each time and countries. The results of this study can be summarized as follows. First, the impact of the online news and blog eWOM on the number of outbound travelers was significant. We found that the number of online news and blog posting have an influence on the number of outbound travelers, especially the experimental result suggests that both the month that includes the departure date and the three months before the departure were found to have an effect. It is shown that online news and blog are online media that have a significant influence on outbound tourism demand. Next, we found that the increased volume of eWOM in online news has a negative effect on departure, while the increase in a blog has a positive effect. The result with the country-specific models would be the same. This paper shows that online media can be used as a new variable in tourism demand by examining the influence of the eWOM effect of the online media. Also, we found that both social media and news media have an important role in predicting and managing the Korean tourism demand and that the influence of those two media appears different depending on the country.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.293-311
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• 2020

Recently, it is more important to study the reasons for using media than which media is selected. This paper investigates different countries as objects to conduct the survey. In accordance with the research results, in hypothesis 1, there is a positive "(+)" influence of its interestingness, informality, restlessness, news pursuit and convenience on satisfaction when college students in South Korea use net news. Taking Chinese college students as an example, there is a positive "(+)" influence of the using motivation of net news on news pursuit, habituation, interactivity, convenience and the satisfaction with net news. In hypothesis 2, the interestingness, informality, habituation and convenience of the using motivation of online news of college students in South Korea are reflected in the acceptance intention of online news, while for Chinese college students, the informality, habituation and convenience are reflected in the acceptance intention of online news. Finally, in hypothesis 3, there is a positive "(+)" influence of the satisfaction of online news on the acceptance level of online news. In addition, this research also considers that the PLS path coefficient of college students in South Korea and China is different, and the motivations and purposes for using net news by two countries are different due to the characteristics and cultures of news media in different countries, so the satisfaction is also different.

• Korean journal of communication and information
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• v.21
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• pp.177-201
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• 2003

This study was designed to explore behaviors of readers of online papers. First, the factor analysis of the online paper motive statements yielded three interpretable factors : informativeness, convenience, economicalness. For online paper use habits, a similar factor analysis procedure resulted in three factors : active utilization, news seeking, information seeking. Informativeness motive and active utilization habit were strongly related, convenience motive and news seeking habit related. Online papers and newspapers were found to be in complementary relationship. Internet access and newspaper reading, active utilization and news seeking habits were significant predictors of online paper use. The result of this study showed online paper readers perceived interactive services online papers offered. and want to utilize those effectively. This study suggests that online papers need to develop various interactive services to attract readers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.3
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• pp.1795-1805
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• 2015

This paper analyzed the recommendation stories in the online journalism on the user's news choice by college students in two ways. One way is recommendation stories, and the other one is their arrangement and the index of use. From the results of the analysis, 7 out of 11 types of recommendation stories had positive effects on selecting news stories, while the 4 other types had little effect. Most of the recommendation stories that had little effect on the user's news selection were 'comments' or 'things' related to tweets' on SNS. The arrangements of new stories and the searched keywords had some effects on the user's news choice but had no effect on the index of use. In addition, the hours of using news stories and the types of recommendation stories were mostly correlated with each other. Consequently, formal factors, such as the arrangement of news stories and the recommendation stories of online journalism, had positive effects on the user's news selection, as well as headlines and keywords of news stories.

• Asia pacific journal of information systems
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• v.32 no.4
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• pp.945-963
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• 2022

With the widespread use of social media, online social platforms like Twitter have become a place of rapid dissemination of information-both accurate and inaccurate. After the COVID-19 outbreak, the overabundance of fake information and rumours on online social platforms about the COVID-19 pandemic has spread over society as quickly as the virus itself. As a result, fake news poses a significant threat to effective virus response by negatively affecting people's willingness to follow the proper public health guidelines and protocols, which makes it important to identify fake information from online platforms for the public interest. In this research, we introduce an approach to detect fake news using deep learning techniques, which outperform traditional machine learning techniques with a 93.1% accuracy. We then investigate the content differences between real and fake news by applying topic modeling and linguistic analysis. Our results show that topics on Politics and Government services are most common in fake news. In addition, we found that fake news has lower analytic and authenticity scores than real news. With the findings, we discuss important academic and practical implications of the study.