• 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.

• 한국패션뷰티학회:학술대회논문집
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• 2005.11a
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• pp.41-42
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• 2005

• Proceedings of the KHMA Conference
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• 2010.11a
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• pp.229-229
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• 2010

• Korean journal of communication and information
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• v.39
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• pp.40-68
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• 2007

Despite many efforts to improve water and publicize Arisu, ordinary citizens' distrust in water is still intense. This study aims to analyze how newspapers, television and internet media in Korea covered water-related news, focusing on the type of articles, themes, news sources, and news values. As a result, the mostly mentioned theme in the media was the discussion about suitability of water as a drinking water, followed by impurified water, governmental policy on water, coverage on the water pipe, and result of examination of water quality. Also among newspapers, broadcasting, and the internet, the internet medium showed the most negative tone in covering water. Stories written by journalists with expertise were less than 1% whereas stories by ordinary journalists were mostly found. In conclusion, to cover public issues like water desirably, it is necessary to bring up journalists with expertise in environmental issues, to diversify news sources, and to do investigative reporting rather than reporting appealing to audience's amusement.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.181-190
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• 2020

The purpose of this study is to analyze the trends of wearable keywords using text mining methodology. To this end, 11,952 newspaper articles were collected from 1992 to 2019, and frequency analysis and bi-gram analysis were applied. The frequency analysis showed that Samsung Electronics, LG Electronics, and Apple were extracted as the highest frequency words, and smart watches and smart bands continued to emerge as higher frequency in terms of devices. As a result of the analysis of the bi-gram, it was confirmed that the sequence of two adjacent words such as world-first and world-largest appeared continuously, and related new bi-gram words were derived whenever issues or events occurred. This trend of wearable keywords will be useful for understanding the wearable trend and future direction.

• Korean journal of communication and information
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• v.30
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• pp.175-201
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• 2005

This study investigates the diversity of news topic and source of the New York Times, Chicago Tribune, and the Los Angeles Times in the second half of the twentieth century. In probing the conventional traits of the contemporary press, the researcher traced the changing patterns and trends of news values in terms of news-gathering routine in order to evaluate the journalistic role conception in terms of social responsibility theory. Findings indicated that the American press as a neutral transmitter has been consistently violated by source and topic bias without any significant changes during the last five decades. The data, however, revealed the evident shift of the contemporary press from the heavy reliance of official source to the business/economic source. In addition, news topics such as business, health, and education have replaced the conventional popular topics such as crime and accidents. By contrast, it was revealed that the unconventional topics such as poverty, labor and minority still fail to receive the large attention from the target papers.

• Journal of Information Management
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• v.43 no.4
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• pp.119-142
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• 2012

This study analyzed the characteristics of hyperlink service from news articles in chosun.com and washington Post sites. The study showed that the Washington Post revealed many hyperlink-related elements and an increase in interactivity while Chosun.com was not established consistent hyperlink service. Also, this study analyzed news distribution based on genre, as a result, the life section was occupied the highest proportion with 32.4% for Chosun.com, while the news sections were evenly distributed for the Washington Post. Finally, as a result of classifying the linked words into 3 categories(Informational, navigational, and transactional), the highest contents category in both Chosun.com and Washington Post turned out to be informational words. Theses results can be used to develop and provide the effective link service of news articles in internet newspaper sites.

• Journal of Korean Society of Disaster and Security
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• v.12 no.4
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• pp.15-26
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• 2019

Anjunshinmungo (The safety e-report) has been in operation since 2014, and there are about 1 million cumulative reports by June 2019. This study analyzes the contents of more than 1 million safety newspapers reported at the present time of information age to determine how powerful and meaningful the people's voice and interest are. In particular, we are interested in forecasting ability. We wanted to check whether the report of the safety newspaper was related to possible disasters. To this end, the researchers received data reported in the safety newspaper as text and analyzed it by natural language analysis methodology. Based on this, the newspaper articles during the analysis of the safety newspaper were analyzed, and the correlation between the contents of the newspaper and the newspaper was analyzed. As a result, accidents occurred within a few months as the number of reports related to response and confirmation increased, and analyzing the contents of safety reports previously reported on social instability can be used to predict future disasters.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.579-585
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• 2023

The purpose of this study is to explore keywords within stalking-related news articles according to political orientation through the text network analysis, and then to examine the implicit intentions. Selecting total 1,607 articles including 824 articles of the conservative press(The Chosun Ilbo, The Joongang Ilbo) and 783 articles of the progressive press(The Hankyoreh, The Kyunghyang Shinmun) reported from January 1, 2018 to December 31, 2022, this study explored the aspect of topic category drawn through the topic modeling technique based on LDA(Latent Dirichlet Allocation). In the results of this study, the common topics of the conservative and progressive press were improvement of the perception of gender-based violence, personal protection & intensity of punishment, and disclosure of stalkers' personal information. Regarding the topics differently shown in those two press, the conservative press showed stalkers' harmful act, and outline of 'murder case at Sindang Station' while the progressive press showed request for aggravated punishment on the 'murder case at Sindang Station', and eradication of sexual exploitation crime (in cyber space). The results of this study imply that there are changes in the type of reporting according to ideological opinions about stalking in news articles.