• Korean Medical Education Review
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• v.24 no.3
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• pp.240-249
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• 2022

This study explored the public's response to an incident involving publicity about how physicians broke bad news to a terminal cancer patient by analyzing 1,960 comments from three online news websites that reported on this event using Braun and Clarke's theme analysis methods. Three themes and 10 subthemes emerged from the public's responses to the way the physicians broke the bad news. Theme 1 (a physician is a person who tells the facts) contained the following subthemes: physicians are responsible for delivering facts, but it is a matter of consideration for patients to deliver bad news to them, empathy and consolation should be expected from people other than physicians, and physicians who say what patients want to hear are cheaters. Theme 2 (there is a problem with physicians) included the following subthemes: the physicians' empathy or personality and problems with their communication methods. Theme 3 (there are obstacles to communication with dying patients) had the following subthemes: physicians become emotionally dull and find it very stressful to break bad news, giving hope to dying patients can lead to medical disputes, and empathy and consolation are also costly. When breaking bad news, the physicians delivered factual information, but they did so inappropriately, and emotional support for the patient was insufficient. In medical communication education, it is necessary to emphasize training in emotional support. In the medical field, an environment should be created where physicians can communicate as they have learned.

• Smart Media Journal
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• v.7 no.1
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• pp.45-51
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• 2018

Avian influenza (AI) is notorious for its rapid infection rate, and has a serious impact on consumers and producers alike, especially in poultry farms. The AI outbreak, which occurred nationwide at the end of 2016, devastated the livestock farming industries. As a result, the prices of eggs and egg products had skyrocketed, and the event was reported by the media with heavy emphasis. The purpose of this study was to investigate the correlation between the egg price fluctuation and the keyword changes in online news articles reflecting social issues. To this end, we analyzed 682 cases of AI-related online news articles for fourteen weeks from November 2016 in South Korea. The results of this study are expected to contribute to understanding the relationship between the actual price of eggs and the keywords from news articles related to social issues.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.87-93
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• 2020

The popularity of social media has led to a variety of communicative behaviors among users. This study targeted Facebook as a representative social medial platform because it has the most subscribers in order to investigate factors that influence Facebook usage. In particular, because a person's behavior is based on how they are perceived by others, self-conscious behavior was examined in the study. Facebook usage and news consumption were examined to ascertain the effects of self-consciousness. An online survey was conducted to examine how private SC and public SC (SCs), affects Facebook usage (profiles and writing posts) and news consumption (clicking "like" and sharing news). 616 participants completed the survey, and results indicated that public SC was positively related to the degree of profile updating and post writing. On the other hand, private SC was positively related to the degree of news sharing. These results suggest that psychological elements significantly predict a user's behavior on Facebook.

• International Journal of Contents
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• v.18 no.2
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• pp.18-31
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• 2022

This study explored the effects of the parasocial relationship formed by CCTV (China Central Television) TV news and non-traditional news on users' perceived media credibility and their online and offline political participation. This study conducted a survey with the Chinese CCTV users between April 19 and April 30, 2021, and finally, 701 respondents' data were analyzed using structural equation modeling. The study results showed that both TV news and non-traditional news had positive effects on parasocial relationships and the parasocial relationship positively influenced media credibility, which subsequently facilitated political participation. However, there was no direct effect between media usage and media credibility. This implies the important mediating role of parasocial interactions, which enables CCTV news to gain media credibility and subsequently influence political participation. This study suggests that CCTV needs to improve the parasocial interactions between their audience and media figures by utilizing the interactive mechanism of non-traditional media.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.627-630
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• 2022

Over the past few years, fake news has become one of the most significant problems. Since it is impossible to prevent people from spreading misinformation, people should analyze the news themselves. However, this process takes some time and effort, so the routine part of this analysis should be automated. There are many different approaches to this problem, but they only analyze the text and messages, ignoring the images. The fake news problem should be solved using a complex analysis tool to reach better performance. In this paper, we propose the approach of training an Artificial Intelligence using an unsupervised learning algorithm, combined with online data parsing tools, providing independence from subjective data set. Therefore it will be more difficult to spread fake news since people could quickly check if the news or article is trustworthy.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.89-103
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• 2023

The purpose of this study is to investigate the mediating effect of news literacy in the relationship between sense of community and political efficacy. This study conducted a survey targeting the MZ generation. The survey was conducted online, and data from 309 cases were used for analysis. The research results are as follows. As a result of correlation analysis between sense of community, political efficacy, and news literacy, it was found that there was a statistically significant correlation between sense of community and news literacy sub factors. Second, the relationship between sense of community and political efficacy was found to have a significant positive effect on political efficacy as sense of community increased. Third, the relationship between sense of community and news literacy was confirmed to have a significant positive effect on news literacy as sense of community increased. Fourth, regarding the relationship between news literacy and political efficacy, it was confirmed that news literacy has a significant effect on political efficacy. Fifth, in the relationship between sense of community and political efficacy, news literacy was found to mediate the relationship between sense of community and political efficacy of the MZ generation. Based on the research results, news literacy education is required from the perspective of civic education, and differentiated educational contents by age are proposed.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.197-216
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• 2022

With the development of Internet and mobile technology and the spread of social media, a large amount of information is being generated and distributed online. Some of them are useful information for the public, but others are misleading information. The misleading information, so-called 'fake news', has been causing great harm to our society in recent years. Since the global spread of COVID-19 in 2020, much of fake news has been distributed online. Unlike other fake news, fake news related to COVID-19 can threaten people's health and even their lives. Therefore, intelligent technology that automatically detects and prevents fake news related to COVID-19 is a meaningful research topic to improve social health. Fake news related to COVID-19 has spread rapidly through social media, however, there have been few studies in Korea that proposed intelligent fake news detection using the information about how the fake news spreads through social media. Under this background, we propose a novel model that uses Graph2vec, one of the graph embedding methods, to effectively detect fake news related to COVID-19. The mainstream approaches of fake news detection have focused on news content, i.e., characteristics of the text, but the proposed model in this study can exploit information transmission relationships in social engagement networks when detecting fake news related to COVID-19. Experiments using a real-world data set have shown that our proposed model outperforms traditional models from the perspectives of prediction accuracy.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.31-43
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• 2023

News credibility is on a decline for many democratic countries. Among the countries, South Korea is currently witnessing one of the steepest declining curves. Since people obtain news from various media, for example, television and portals, news credibility can be measured for each of the media separately. Most often, television news credibility is much higher than portal news credibility because people tend to trust traditional media more than online ones. To understand the discrepancy between news credibility of the two media in specific relation to South Koreans' everyday news use and overall news credibility evaluation, this exploratory study examined how the factors that influence television news credibility and portal news credibility differ from each other by examining the relations of news credibility of the two media to credibility of news I use and of news in general. Drawing from previous research on partisan news use, it assumed that normative beliefs for television as a traditional medium work for television news credibility in the similar way as the mechanisms of selective exposure and bias perception do. It also assumed that the experiences dimension of news trust works for credibility of portal news and of news in general similarly. To verify these assumptions, a regression analysis was conducted from a sample of 58,936 South Koreans collected in 2022. As assumed, results revealed a greater relation between credibility of television news and of news I use, and between credibility of portal news and of news in general respectively. The findings suggest that measurement of credibility should be revised in the way that reflects media characteristics and the differing expectations held by news users.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.1-12
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• 2020

The purpose of this study is to explore the trend of blockchain technology through analysis of patents and news articles using text mining, and to suggest the blockchain policy agenda by grasping social interests. For this purpose, 327 blockchain-related patent abstracts in Korea and 5,941 full-text online news articles were collected and preprocessed. 12 patent topics and 19 news topics were extracted with latent dirichlet allocation topic modeling. Analysis of patents showed that topics related to authentication and transaction accounted were largely predominant. Analysis of news articles showed that social interests are mainly concerned with cryptocurrency. Policy agendas were then derived for blockchain development. This study demonstrates the efficient and objective use of an automated technique for the analysis of large text documents. Additionally, specific policy agendas are proposed in this study which can inform future policy-making processes.

• 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.