• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.101-107
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• 2020

This paper aims to compare and analyze the major keywords according to the political orientation of progressive and conservative newspapers by utilizing the big data of the four major domestic daily newspapers related to COVID-19, which has entered a long-term war. To this end, 93,917 news reports from Jan. 20 to Sept. 15, 2020 were divided into four stages and the major keywords of the four newspapers were implemented and analyzed in WordCloud. According to the analysis, the conservative newspaper focused on the government's response, criticism, and China's responsibility by mentioning the keywords "government," "president," "state of affairs" and "mask" more than the progressive newspaper, while the progressive newspaper uses keywords that emphasize the seriousness of the disease and the occurrence of a dangerous situation. The Chosun Ilbo found that the use of various keywords during the massive outbreak of collective infections (2.18-5.15), and that the JoongAng Ilbo used keywords criticizing government policies in relation to reports of infectious diseases such as COVID-19, but also used keywords that emphasize the seriousness of diseases used by progressive newspapers and the occurrence of dangerous situations.

• Journal of the Korean Graphic Arts Communication Society
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• v.19 no.1
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• pp.55-63
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• 2001

Visual and color in Korean newspaper advertisements appeared in transformational advertising (21cm$\times$30.4cm) were analyzed. Data were gathered from 191 advertisements shown on major four daily newspaper; Dong-a, Joong-ang, Chosun, and Hanguk from October to December in 2000. From the results of this research, researcher concluded the followings; Both Korean and English are frequently used. With expectation of high readability, Roman/serifs and San serifs are mostly used typefaces. Selecting color for copy and backgraund in advertisements became more varied to satisfy varied consumers' personality.

• Korean journal of communication and information
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• v.57
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• pp.160-180
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• 2012

This research points out how the major newspapers and the Local newspaper try to report the issue of development in Incheon Free Economic Zone differently and observe how the press has played a role in a process. It is seen that the type of story-leading has been followed by properly traditional one as usual and reflected the recent trends well in both. The perspectives of ChosunIlbo to look at the regional issue is taken in the situation of a middle clear attitude but KyeonginIlbo is faithful to make the position of the monitor. In other words, a Metropolitan newspaper often deals with the regional issues in a more passive posture, while a Local daily newspaper tries to report the same issue in a more positive and active form. This kind of attitude upon news composition reflects the quality of the news, which is a standard of actual newspaper articles. The ChosunIlbo focuses on the political issues more while, KyeonginIlbo emphasizes on the cultural similarities. And they trace the economic importance, human interest but less to the structural figures.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.235-241
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• 2019

The purpose of this study is to investigate the characteristics of advertising section of the daily newspaper through content analysis. From April 2015 to March 2017, a total of 1,927 advertisements were analyzed by the newspaper ethics committee, and the following results were obtained. Firstly, most types of features (advertising) received more attention than warnings. Secondly, we can confirm that the amount of advertisement in section (featured) of major daily newspapers is gradually increasing, and section advertisement is appeared in major business districts. Third, there were many violations in the practice guidelines of the newspaper code of ethics as the media's responsibility and press coverage. Finally, in the case of certain companies and products, if you do not follow the principles of publication for profit and publicity, you may need to make your own efforts to protect the credibility and fairness of newspapers, and more autonomous guidelines.

• The Journal of Korean Academic Society of Nursing Education
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• v.24 no.4
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• pp.453-462
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• 2018

Purpose: This study analyzed how the four nurse-related news items 'talent show,' 'neonatal death,' 'nurse's death,' and 'sexual harassment' were portrayed in Korean daily newspaper articles. Methods: A total of 392 newspaper articles published from November 2017 to May 2018 were retrieved through the internet homepages of three newspapers, the Chosun Ilbo, the Dong-a Ilbo, and the JoongAng Ilbo and through a database for 13 other newspapers. Articles were analyzed for their views on nurses and their structural and contextual frames. Results: Articles with the highest frequency of mentioning nurses' death appeared in the JoongAng Ilbo; these were written as straight news articles. In the analyzed articles, nurses were portrayed mostly as victims, troublemakers, passive, or selfish. Articles were written mostly in episodic, incident notice, or attribution of responsibility frames. Conclusion: It was not uncommon to read articles with negative views on nurses; most of these articles focused only the four major incidents as straight news type stories. Future efforts are needed to study the implications of newspaper articles with negative views on nurses and the frames most commonly used.

• Asian Journal for Public Opinion Research
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• v.10 no.1
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• pp.4-22
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• 2022

The purpose of this study is to explore the structure of social discourse on aging in Korea by analyzing newspaper articles on aging. The analysis is composed of three steps: first, data collection and preprocessing; second, identifying the latent topics; and third, observing yearly dynamics of topics. In total, 1,472 newspaper articles that included the word "aging" within the title were collected from 10 major newspapers between 2006 and 2019. The underlying topic structure was analyzed using Latent Dirichlet Allocation (LDA), a topic modeling method widely adopted by text mining academics and researchers. Seven latent topics were generated from the LDA model, defined as social issues, death, private insurance, economic growth, national debt, labor market innovation, and income security. The topic loadings demonstrated a clear increase in public interest on topics such as national debt and labor market innovation in recent years. This study concludes that media discourse on aging has shifted towards more productivity and efficiency related issues, requiring older people to be productive citizens. Such subjectivation connotes a decreased role of the government and society by shifting the responsibility to individuals not being able to adapt successfully as productive citizens within the labor market.

• Communications for Statistical Applications and Methods
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• v.19 no.6
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• pp.771-780
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• 2012

In the current analysis, we examine news coverage data widely used in media studies. News coverage data is usually time series data to capture the volume or the tone of the news media's coverage of a topic. We first describe the distributional properties of autoregressive conditionally heteroscadestic(ARCH) effects and compare two major American newspaper's coverage of U.S.-North Korea relations. Subsequently, we propose a change point detection model and apply it to the detection of major change points in the tone of American newspaper coverage of U.S.-North Korea relations.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.169-170
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• 2020

본 연구는 코로나19 상황에서 대한민국 긴급재난지원금의 모습을 주요 신문사 뉴스 기사들을 통해 분석하고 그 결과를 제시하고자 한다. 분석대상은 2020년 3월 22일부터(긴급재난지원금 첫 보도) 5월 31일까지, 중앙일간지(11개 신문사)의 '긴급재난지원금' 관련 신문기사들이다. 신문기사 분석방법론은 관련 연구주제가 선행연구가 축적되지 않는 상황에서 나름 가치 있는 연구접근법이다. 본 연구에서는 뉴스기사 빅데이터 분석 서비스인 빅카인즈를 활용하여, 관련기사의 뉴스 트렌드, 연관어, 관계도 등을 분석하여 제시하였다. 본 연구는 향후 해당 분석대상을 가지고, 보다 밀도 있고 깊이 있는 언어네트워크(의미망) 분석으로 확장해 나갈 계획이다.

• 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.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.4
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• pp.315-334
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• 2013

This study performs opinion mining of newspaper articles, based on topics extracted by topic modeling. We analyze the attitudes of the news media towards a major issue of 'presidential election', assuming that newspaper partisanship is a kind of opinion. We first extract topics from a large collection of newspaper texts, and examine how the topics are distributed over the entire dataset. The structure and content of each topic are then investigated by means of network analysis. Finally we track down the chronological distribution of the topics in each of the newspapers through time serial analysis. The result reveals that both the liberal newspapers and the conservative newspapers exhibit their own tendency to report in line with their adopted ideology. This confirms that we can count on opinion mining technique based on topics in order to analyze opinion in a reliable fashion.