• The Journal of Korean Academic Society of Nursing Education
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• v.28 no.4
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• pp.444-455
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• 2022

Purpose: This study explored the meaning of the social perceptions of nurses in online news articles during the coronavirus disease 2019 (COVID-19) pandemic. Methods: A total of 339 nurse-related articles published in Korean online newspapers from January 1 to December 31, 2020, were extracted by entering various combinations of OR and AND with the four words "Corona," "COVID," "Nursing," and "Nurse" as search keywords using BIGKinds, a news database provided by the Korea Press Foundation. The collected data were analyzed with a keyword network analysis and topic modeling using NetMiner 4. Results: The top keywords extracted from the nurse-related news articles were, in the following order, "metropolitan area," "protective clothing," "government," "task," and "admission." Four topics representing keywords were identified: "encouragement for dedicated nurses," "poor work environment," "front-line nurses working with obligation during the COVID-19 pandemic," and "nurses' efforts to prevent the spread of COVID-19." Conclusion: The media's attention to the dedication of nurses, the shortage of nursing resources, and the need for government support is encouraging in that it forms the public opinion necessary to lead to substantial improvements in treating nurses. The nursing community should actively promote policy proposals to improve treatment toward nurses by utilizing the net function of the media and proactively seek and apply strategies to improve the image of nurses working in various fields.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.683-693
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• 2014

This research examines a storytelling of a crisis presented in news coverages about Asiana Airline accident happened at San Francisco airport on July 6th, 2013. and investigate how the storytelling affects public's image toward an organization. To answer the research questions, qualitative content analysis of news articles (n=101) and survey (n=125) were employed. The subjects for the content analysis were Chosun Daily Newspaper and Hankyoreh Daily Newspaper, and the period of news articles is range from June 6th, 2013 to June 12th, 2014. The results showed that 10% out of total news articles was positive description toward stewardess who handled the crisis well in emergence situtation. The major expressions of depicting the stewardess's heroic activities in the news articles were tears, composure, hero, quick response, sacrifice, sorry, and so on. The online survey was conducted from Nov. 15, 2013 to Feb. 14, 2014 and found that the stewardess heroic activity influenced positively public's evaluation on Asian airline's crisis management and image of the company.

• Korean journal of communication and information
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• v.42
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• pp.79-106
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• 2008

Based on the third-person effect hypothesis, this study conducted a nation-wide online survey to assess how Korean voters perceived the mass media's effect on the candidates' image and voting behavior during the 17th presidential election. The research results showed that the voters tended to perceive that the mass media such as newspaper, television and the Internet had a greater effect on others than on themselves with regards to the formation of the three candidates' images. The third-person effect on the voting behavior was also revealed differently in terms of the medium according to age and political tendency of the voters. For instance, the younger and liberal voters were likely to see newspaper as having a greater influence on other voters' choice of candidate, while the older voters saw TV as having a greater effect on other voters. The conservative tendency did not affect the perception of the voters at all. Another noteworthy result was that personal characteristics of the candidates' images such as appearances and communication skills did not affect the voters' behaviors in the election process.

• Journal of the Korean association of regional geographers
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• v.22 no.2
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• pp.331-352
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• 2016

This paper pays attention to the fact that not only Gangnam but also cities outside Seoul that attempt to follow the Gangnam model are deeply involved in Korean developmental urbanism. It examines discursive materials such as newspaper articles, newspaper advertisements and online debates as significant sources of information showing how certain districts are materially and discursively constructed by diverse actors in the national capital and in other cities. The result of in-depth interviews lasting up to two hours reveals local residents' imagined geographies. The article emphasizes that the so-called "Gangnam problem" should be understood as existing beyond the physical, symbolic and administrative boundaries of Gangnam, in cities that follow the Gangnam model. This study helps to provide an epistemological foundation for more equitable, sustainable and de-developmental urbanism.

• Journal of Distribution Science
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• v.17 no.10
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• pp.83-91
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• 2019

Purpose - Media is a significant distributional channel in sport. In terms of determining the influencer in building sport media contents, recent sport media studies have employed agenda-setting theory, assuming media itself as the agenda provider. In a real-world situation, however, sports stars have been deemed key factor determining distribution contents in sport. The starting point of this study is the "tacit premise" of agenda-setting theory. Given the agenda-setting theory, the current study attempted to explore the function of sport stars as an agenda provider, which is a key determinant of sport distribution. Research design, data, and methodology - This study has reviewed articles of Yuna Kim, Sang-hwa Lee, and Hyun-jin Ryu from daily newspapers including as dong-a ilbo and joongang ilbo (2013 to 2017). The study collected data, portable document format (PDF), from the online archive of dong-a ilbo and joongang ilbo. We coded the length of the article, the frequency, the size of the picture, and the structural form of the article. Inter-coder reliability was compared with data previously investigated by the researcher. Inter-coder reliabilities for study 1 and 2 was .89 and .85. To examine hypotheses, descriptive analysis, correlations, and cross-tap analysis were performed. Results - The results partially supported the hypotheses proposing the significant role of sports stars as the agenda setters in distributing sport media contents. In specific, the study found that the number of articles about sports stars prevailed the number of articles about regular athletes. Besides, studies found that the use of photos was more frequent in articles of sports starts than that of regular athletes. In sports newspaper articles, featured story articles were used more than straight-articles for news relating to sports stars. Also, sports newspaper of sports stars contained more information associated within an event rather than outside of an event. Conclusions - In sports journalism, this study challenges the current theory that the media affects the composition and the content of sports coverages. As the principle of the agenda-setting of sports media, the influence of sports stars must be continuously studied along with a follow-up study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.345-351
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• 2020

Administrative agencies today are paying keen attention to big data analysis to improve their policy responsiveness. Of all the big data, news articles can be used to understand public opinion regarding policy and policy issues. The amount of news output has increased rapidly because of the emergence of new online media outlets, which calls for the use of automated bots or automatic document classification tools. There are, however, limits to the automatic collection of news articles related to specific agencies or departments based on the existing news article categories and keyword search queries. Thus, this paper proposes a method to process articles using classification glossaries that take into account each agency's different work features. To this end, classification glossaries were developed by extracting the work features of different departments using Word2Vec and topic modeling techniques from news articles related to different agencies. As a result, the automatic classification of newspaper articles for each department yielded approximately 71% accuracy. This study is meaningful in making academic and practical contributions because it presents a method of extracting the work features for each department, and it is an unsupervised learning-based automatic classification method for automatically classifying news articles relevant to each agency.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.145-158
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• 2022

Although the rapid development of technology has led to a swift increase in the number of companies using social networking services (SNS), it will not be accurate to say that they have fully "utilized" the functionality of SNS simply by "using" these services. Therefore, this study aims to increase the convenience of using digital technology and help SNS users in extending the functionality of these services beyond their regular use and thus, revitalize the field by increasing the service providers' efficiency. In this study, the Facebook usage status of a graduate school newspaper from an undisclosed university in Seoul was analyzed from February to December, 2021 using the participant observation method. The results of the study revealed the following: First, it is necessary to diversify the subject and type of content to ensure a continuous supply of quality content; Second, there is a need to examine the user categories and characteristics by utilizing SNS functionalities such as, the target reports and insights, and based on this, supply content that meets the needs of the users; Third, to resolve the problem of low levels of user participation and an inactive Facebook account, it is necessary to mobilize new marketing tools like online events. The significance of this study is that it confronts the real problems faced by some companies that cannot keep pace with market changes in a digital environment, identifies failure factors, and proposes solutions to them.

• Information Systems Review
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• v.20 no.1
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• pp.41-59
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• 2018

This study analyzed the factors that affect acceptance of online direct marketing in agricultural companies. Empirical analysis was conducted using the research model based on the individual's technology acceptance model (TAM) and the information technology adoption models in organizations. These models have four dimensions: 1) technology characteristics, which include perceived usefulness and perceived ease of use of TAM 2) CEO characteristics, which including the innovativeness and IT capability of CEOs; 3) organizational readiness, which include financial, technological, and human resources capabilities and 4) environment and external pressure, which include government support and changes to the Internet environment. These concepts were empirically tested. A total of 209 valid data were collected through questionnaires and analyzed using confirmatory factor analysis and path analysis through the application of structural equation modeling. Results show that perceived usefulness, IT capability of CEOs, and changes to the Internet environment have significant effects on the adoption intention of online direct marketing. However, perceived ease of use, CEO innovativeness, government support, and the variables of organizational readiness dimension did not have significant effects on adoption intention. This study suggests practical implications for adoption of online direct marketing in agricultural companies.

• Journal of the Korean Society for information Management
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• v.29 no.1
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• pp.375-393
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• 2012

The population aging occurs rapidly due to the advancement of the medical technology and living conditions and this led increased interests in how the elderly manages their lives. This study attempted to understand the information needs and behavior of the elderly users as well as to find about their information access and online communications. Based on the analysis of the interviews with thirty-two elderly users, they mainly looked for information on the topics such as health, news, leisure, and hobby. In addition, they primarily used television, radio, Internet, family members, relatives, and newspaper to obtain information. Their current use of social computing services including online communities, blogs, social network sites were low. However, the elderly users were aware of the social computing services' effectiveness in increasing the satisfaction and happiness of their lives by expanding the opportunities for them to communicate with family members and other social members.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.159-171
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• 2022

This study examined the problem of utilizing celebrity SNS in online news, which have increased by an average of 745 every year since 2010, reaching about 10,000 in 2021. 40 online newspapers were selected and 202,730 news articles produced by these newspapers in July 2021 were analyzed. As a result, 1.27% (2,582) of all articles were found to be using celebrity SNS as a source. This indicates that on average, online newspapers produce 2.08 celebrity SNS-utilized articles per day and 64.7 articles per month. Specifically, entertainer SNS (53.7%) was used the most compared to SNS of politician(39.8%) and influencer(6.5%). Instagram(69.1%, 57.1%) was utilized the most for entertainer and influencer and this were mostly related to personal information. On the other hand, Facebook(70.4%) was cited the most for politician, mostly related to opinions on social/political issues. The average length of SNS-based articles was 536 characters. The problem with news articles utilizing SNS is that most articles simply copy the SNS content without additional coverage(88.4%), and 14% of the articles did not disclose the exact source. Implication of the research on 40 online news agency is discussed.