• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.1
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• pp.181-207
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• 2019

This study analyzed social issues related to presidential records in press releases using semantic network analysis method. For this purpose, we 1) selected five major news medias in Korea - Chosun Ilbo, JoongAng Ilbo, Dong-A Ilbo, Hankyoreh, and Kyunghyang Newspaper; 2) collected relevant articles including the subject word "Presidential Records", and 3) analyzed issue trends based on timeline using semantic network. According to medias, the issue related to the presidential records were analyzed by comparing the specific keywords in terms of persons, entities, actions. At the results, It is possible to identify the reporting patterns and components of the presidential records related issues. And the difference of media characteristics according to news media tendency was derived.

• Journal of the Korean Regional Science Association
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• v.38 no.4
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• pp.19-29
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• 2022

Previous studies on the factors affecting residents' migration have shown that residents who feel dissatisfied with their residential environment are more likely to move to another area than those who feel satisfied. The main purpose of this study is to investigate the subjective evaluation of the decline of the place and its impact on the intention to stay. This study used the data from Hankyoreh 21 survey of the residents who have been residing in the declining regions. The main finding of this study is that residents have a much higher propensity to stay as they become older. The fact that residents' staying intention tends to increase with age seems to be closely related to physical and economic constraints of older residents. Therefore, it can be inferred from the result that the elderly are more likely to be exposed to disadvantageous environments than the young residents in the declining regions.

• Journal of the Korea Society of Computer and Information
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• v.28 no.5
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• pp.129-153
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• 2023

This study was conducted in the context of the Covid-19 pandemic by analyzing a large amount of press report frames regarding the Covid-19 vaccine which is of great public interest, in order to explore the role and direction of trusted media as core elements of crisis communication. The study period lasted for eight months beginning in November 2020 when the development of the Covid-19 vaccine was in progress until June 2021. Set-up as research subjects were the Chosun Ilbo, Joongang Ilbo, Dong-A Ilbo and Hankyoreh according to their public confidence rankings and number of readers.The analysis method used structured topic Modeling (STM) and semantic network analysis. As a result, based on a clear cluster of word structures and a central analysis value, a total of 64 relevant frames, 16 for each news company, were gathered. In the third phase a comparative analysis of the four news companies was carried out to verify the organizational degree of the frames and substantial differences.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.1-13
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• 2022

This study aims to examine the trend and characteristics of newspaper articles concerned with fine particle matter. Newspaper articles since 1995 collected from Bigkinds were analyzed using text mining techniques, sentiment analysis and regression analysis. Air pollution measurement and domestic pollutants appeared frequently previously, but "China" became the keyword in the 2010s along with political action, the effects on the health, AD/PR, and domestic pollutants. Korea JoongAng Daily, Hankyoreh and Kyunghyang Shinmun have had more focused on political regulations whereas most regional daily newspapers on emission sources and reduction measures at the regional level. The results of this study are expected to be used as a reference for understanding the trend of newspaper articles. Future work includes further analysis and discussion of fine particle pollution condition and news reports in the post-COVID era.

• Journal of Korean Library and Information Science Society
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• v.48 no.4
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• pp.21-47
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• 2017

This study aims to analyze features of topics about AI(Artificial Intelligence) which is gaining a massive attention these days. Newspaper articles published from 2016 to June, 2017 were selected to analyze key subjects. The reason why the period was selected is people started to get attention on AI since 2016 as AlphaGo came out and gave a shock. The number of coded main message was 1,210 in 525 newspaper articles in total. The messages were categorized as three subject categories: the seven major categories, 62 middle categories. and minor categories. The seven major categories contains issues such as AI research, AI application, AI business, AI era, AI argument, AlphaGo, and other topics. The first features of issues about AI found in the major subject categories is that they are various and complicate. Second, it is important that social and policy-level issues related AI, such as job losses, misuse, and error should be dealt with to utilize AI safely. Last, issues related the role of human and revolution of education system in the AI era were shown as subjects which are important but hard to discuss.

• Korean journal of communication and information
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• v.25
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• pp.135-162
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• 2004

This paper deals with how Korean press constructs the study on human gene in the process to collect information add distribute them to readers by their ideological characteristics. By using frame analysis method, this paper analysis the reality construction of human gene's studies in critical insights and explores some alternatives for solving the social conflict around human gene's study. Based on the study results, this paper suggests that Korean press needs more positive role in establishing a public sphere in order to make a social consensus about ethical issues of human gene's studies.

• Korean small business review
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• v.43 no.3
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• pp.43-73
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• 2021

The purpose of this study is to examine the effect of the collective psychological ownership (CPO) of the board of directors of cooperatives on organizational performance, and to find out the mediator effect of shared leadership between CPO and organizational performance. In this study, we collected a data set of the survey of 453 directors from 78 local consumer cooperatives of iCOOP Korea. The study found that the CPO of the board of directors of consumer cooperatives had a positive impact on the social performance and activity performance of the organization. More importantly, the mediator effect of shared leadership between CPO and performance was statistically significant. These results suggest that strengthening CPO on the board is necessary for the performance of co-operatives, and that shared leadership is an important medium for linking CPO to performance.

• Korean journal of communication and information
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• v.62
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• pp.244-263
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• 2013

There have been enormous social impacts on many areas, including science journalism, since the so-called "Hwang Woo Suk" incident. Although wide demand for better science journalism has been aroused since then, but it is hard to find an evidence to prove we have reached the point. This study examines how major Korean newspapers report Unidentified Flying Objects in order to test if the level of science journalism had been elevated. As results, still it is a long road ahead to achieve the goals because most reports were taken from the international news agents or from the witnesses rather than scientific researches and analyses; terminologies used in the stories were ambiguous; follow-up stories were rare, the sources were usually pseudo-scientific, wanton errors in basic facts and coherence, and other problems were found. It could be suggested that the dependency on supplied news to be reduced, journalists who understand both science and journalism are required, inner regulations on science reporting to be established, correct quotations and fact-checks to be accomplished, fairness to be maintained within the boundary of normal science.

• Journal of Intelligence and Information Systems
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• v.18 no.3
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• pp.53-77
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• 2012

This study analyses the difference of contents and tones of arguments among three Korean major newspapers, the Kyunghyang Shinmoon, the HanKyoreh, and the Dong-A Ilbo. It is commonly accepted that newspapers in Korea explicitly deliver their own tone of arguments when they talk about some sensitive issues and topics. It could be controversial if readers of newspapers read the news without being aware of the type of tones of arguments because the contents and the tones of arguments can affect readers easily. Thus it is very desirable to have a new tool that can inform the readers of what tone of argument a newspaper has. This study presents the results of clustering and classification techniques as part of text mining analysis. We focus on six main subjects such as Culture, Politics, International, Editorial-opinion, Eco-business and National issues in newspapers, and attempt to identify differences and similarities among the newspapers. The basic unit of text mining analysis is a paragraph of news articles. This study uses a keyword-network analysis tool and visualizes relationships among keywords to make it easier to see the differences. Newspaper articles were gathered from KINDS, the Korean integrated news database system. KINDS preserves news articles of the Kyunghyang Shinmun, the HanKyoreh and the Dong-A Ilbo and these are open to the public. This study used these three Korean major newspapers from KINDS. About 3,030 articles from 2008 to 2012 were used. International, national issues and politics sections were gathered with some specific issues. The International section was collected with the keyword of 'Nuclear weapon of North Korea.' The National issues section was collected with the keyword of '4-major-river.' The Politics section was collected with the keyword of 'Tonghap-Jinbo Dang.' All of the articles from April 2012 to May 2012 of Eco-business, Culture and Editorial-opinion sections were also collected. All of the collected data were handled and edited into paragraphs. We got rid of stop-words using the Lucene Korean Module. We calculated keyword co-occurrence counts from the paired co-occurrence list of keywords in a paragraph. We made a co-occurrence matrix from the list. Once the co-occurrence matrix was built, we used the Cosine coefficient matrix as input for PFNet(Pathfinder Network). In order to analyze these three newspapers and find out the significant keywords in each paper, we analyzed the list of 10 highest frequency keywords and keyword-networks of 20 highest ranking frequency keywords to closely examine the relationships and show the detailed network map among keywords. We used NodeXL software to visualize the PFNet. After drawing all the networks, we compared the results with the classification results. Classification was firstly handled to identify how the tone of argument of a newspaper is different from others. Then, to analyze tones of arguments, all the paragraphs were divided into two types of tones, Positive tone and Negative tone. To identify and classify all of the tones of paragraphs and articles we had collected, supervised learning technique was used. The Na$\ddot{i}$ve Bayesian classifier algorithm provided in the MALLET package was used to classify all the paragraphs in articles. After classification, Precision, Recall and F-value were used to evaluate the results of classification. Based on the results of this study, three subjects such as Culture, Eco-business and Politics showed some differences in contents and tones of arguments among these three newspapers. In addition, for the National issues, tones of arguments on 4-major-rivers project were different from each other. It seems three newspapers have their own specific tone of argument in those sections. And keyword-networks showed different shapes with each other in the same period in the same section. It means that frequently appeared keywords in articles are different and their contents are comprised with different keywords. And the Positive-Negative classification showed the possibility of classifying newspapers' tones of arguments compared to others. These results indicate that the approach in this study is promising to be extended as a new tool to identify the different tones of arguments of newspapers.

• Korean journal of communication and information
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• v.79
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• pp.40-69
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• 2016

This study examines how the Korean media has covered the leukemia case of Samsung workers. The news articles on the cases, published in the three terrestrial broadcasting stations, the five major newspapers, progressive Internet news media, conservative Internet news media, and business newspapers between 2007 and 2015, were retrieved and analyzed. Four characteristics of news reports were discovered as following: First, while conservative news media and business news media have exnominated the first phase of the case in which a civil organization Sharp claimed that Samsung workers had leukemia from their workplace; they have nominated the second phase of the case in which Samsung attempted to solve the problem by compensating the victims for their disease. Second, the media generally have displayed more interests in the results than in the causes of the case. Third, the conservative press and business newspapers have reported the case in favor of Samsung rather than laborer victims. Fourth, the conservative press have deployed market-friendly discourses, rather than problematizing the state and civil society. Through an abduktive analysis, this study argues that except the Hangyore and Kyunghyang Shinmun, most of the Korean media, assuming pro-business attitude, do not question or clarify where the responsibility of the industrial disaster lies by displaying their interests in the phase of solution, not in the phase of cause.