• Korean journal of communication and information
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• v.40
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• pp.249-286
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• 2007

This study examines the main characteristics and differences on people's page in selected four national dailies, such as Chosun Ilbo, Joongang Ilbo, Seoul Shinmum and Hankyoreh Shinmun. Both Chosun Ilbo and Joongang Ilbo are categorized as the conservatives; while Seoul Shinmum and Hankyoreh Shinmun as the progressive. This study has been done by applying methods of content analysis to reveal the differences in terms of people's occupations, types of reports, their philosophies, and standards of selecting people by the dailies for the people's pages. The results shows that the conservative newspapers are very similar to the progressive newspapers in terms of occupations and the types of reports, covering the people on people's pages. More specifically, both the conservative dailies and the progressive dailies report the people for whose jobs are related to both social and cultural works. However, the conservative newspapers have much more coverages than the progressive papers in terms of the publicity reporting on the people. The conservatives are also much more reports on the people who are eager to economic success than the progressive dailies; while the progressives papers have much coverages on those who are interesting in helping others than the conservatives papers. Finally, this study reveals that the conservative dailies mainly cover those who are in publicity activities and social elite groups, while the progressive newspapers are the social celebrities and persons of fame in society.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.403-414
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• 2016

The purpose of this study is to explore how South Korean TV news programs represent the image of North Korean defector through analyzing South Korean TV news contents portraying North Korean defector. In order to conduct this research, the study analyzes the main subjects of the South Korean TV news contents, the image of characters on the TV news contents, and frames which the TV news contents mainly used. According to the results of this study, the TV news programs represent the positive image of South Korean government whereas they criticize North Korean government while representing North Korean defector issues. However, the TV news programs showed no interest in real problems which the North Korean defectors are experiencing. Further, the findings of this study are very similar to the results of previous studies that were analyzing the representation of news media about minority groups including North Korean defectors. Most studies analyzing how news media represent minority groups show that the groups have been identified not by their own opinions and relations but predominant culture and lifestyles in the society, and they are also represented not by their own voice but predominant perspectives of the society.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.5
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• pp.731-740
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• 2021

This study applied LDA topic modeling analysis to collect and analyze news media big data related to face masks in the three waves of the COVID-19 pandemic in Korea. The results empirically show that media reports focused on mask production and distribution policies in the first wave and the mandatory mask wearing in the second wave. In contrast, more reports on trivial, gossipy events consist of the media coverage in the second and third waves. The findings imply that Korea's governmental interventions to address the shortage of face masks and to regulate mask wearing were successful relatively in a short time. In contrast, the study also reports that there may be relative less number of science-based news reports like the ones on the effectiveness of face masks or different levels of filter types. This study exemplifies how a big data analysis can be applied to evaluate and enhance public health communication.

• Journal of The Korean Association of Information Education
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• v.26 no.6
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• pp.543-552
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• 2022

This study tried to analyze the social perception of news coverage on inclusive education by using big data analysis techniques. News articles were collected according to the 5-year policy period for the development of special education, and news big data was analyzed. As a result, the frequency of media reports during the five-year policy period of special education development from 1998 in the first year to 2022 in the fifth year was steadily increased. During this period, the top topic words in news coverage changed from words conceptualizing simple definitions to words expressing the active will of students with disabilities for the actual right to education. In addition, as a result of emotional analysis of the overall keywords in the inclusive education news coverage, it was found that the positive word ratio was high. Through this study, it can be seen that interest in news coverage on inclusive education is increasing quantitatively in accordance with changes in special education policies, and the demand for inclusive education is being concreted in the direction of guaranteeing the actual right to education of students with disabilities.

• Journal of agricultural medicine and community health
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• v.46 no.3
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• pp.153-161
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• 2021

Backgrounds: This study was performed to analyze the main key words of newspaper articles related to COVID-19 in 2020 for each category of quarantine measures according to the epidemic period of COVID-19. Methods: We analyzed articles related to COVID-19 in three major newspapers of Korea between February 17 and December 31, 2020. We targeted the front page articles on mondays and thursdays. The analysis of the relationship between the two variables was confirmed through the chi-square test. Results: As a result of analyzing the main key words for each category of quarantine measures, non-pharmaceutical intervention were the most common at 54.3%, followed by 3Ts(test, tracing, treatment and vaccine) at 31.9%. In the category of non-pharmaceutical intervention, social distancing was the most common at 33.9%. In the categories such as 3Ts(test, tracing, treatment) and vaccine, diagnostic tests were the most common at 41.8%. Conclusions: It was identified that non-pharmaceutical intervention were the most common, and there was a difference in the reporting of main key words by category of quarantine measures for each epidemic period related to COVID-19 in 2020.

• Korean journal of communication and information
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• v.30
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• pp.35-87
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• 2005

This research explores the empirical confirmation of the Internet development including from the period of innovation to the time of social-cultural use in today. The research focused on how tradition news media rover about the Internet developed from early to today, and understanding the media characteristics on the each stages from news frame. The research Is designed to conduit content analysis from 1989 to 2004, then this research is divided four(4) stages of the Internet development: innovation, diffusion, commercial usage, social-cultural usage. The results shows that there are significant different coverage by the stages. First of all, the news coverage pattern shift from technology focused on early stages to social usage focused on the later stages. This research confirms that the ratio of the seriation(technology) coverage defined when social usage is increased, on the other hand skeumorphs(social usage and content) coverage is increased in the commercial and social usage stages. This coverage pattern among news media does not such a big different and there is no competitive coverage. Moreover, the news coverage shifted from thematic coverage on early stages to episodic coverage while the number of usage increasing. In addition, the tone of coverage has not been changed significantly.

• 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.37
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• pp.237-269
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• 2007

This study examined how newspapers covered the 60th anniversary of the historical event, 8 15 Independence Day. Specifically, five newspapers from three countries were content-analyzed to see differences, if any, based on country level and political ideology of the newspaper. The findings showed that Japanese newspapers yielded less amount of coverage than those of Korea and China. The newspapers of Korea and China used straight news format, while Japanese newspapers used opinion news format. In terms of information source, Korean newspapers and Chinese newspapers mainly relied on the information from the government, while Japanese newspapers took the information from citizen. The difference also revealed that Korean newspapers focused on domestic situation frame and the other countries more emphasized past memory of the War times. Consequently, the three countries showed clearly different perspectives on the same historical event. These distinctions were caused from national interest rather than political ideology of the newspaper.

• Korean journal of communication and information
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• v.45
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• pp.425-462
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• 2009

The present study delves into how rape reports are framed in popular Korean newspapers over time. Specifically, the primary purpose of this study was to examine how rape myths and ambivalent sexism and were presented in three Korean newspapers. In order to assess longitudinal trends of rape reports, the sample for the content analysis was drawn from 1990 to 2007. Four newspapers, Chosun-Ilbo, Dongah-Ilbo, Jungang-Ilbo and Hankyoreh, which have been the most popular in terms of circulation and ad revenues, were selected for this longitudinal content analysis. Using random stratified sampling and screening process, A total of 2160 articles were content analyzed for the main study. The results revealed that rape reports appearing in Korean newspapers were overwhelmingly dominated by episodic frame rather than thematic frame. Particularly, It was found that Korean rape reports generally have attributed the cause of rape crimes to the victims. Implications for results were discussed in terms of rape myth and ambivalent sexism theories.

• 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.