• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.47-64
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• 2021

The global spread of COVID-19 around the world has not only affected many parts of our daily life but also has a huge impact on many areas, including the economy and society. As the number of confirmed cases and deaths increases, medical staff and the public are said to be experiencing psychological problems such as anxiety, depression, and stress. The collective tragedy that accompanies the epidemic raises fear and anxiety, which is known to cause enormous disruptions to the behavior and psychological well-being of many. Long-term negative emotions can reduce people's immunity and destroy their physical balance, so it is essential to understand the psychological state of COVID-19. This study suggests a method of monitoring medial news reflecting current days which requires striving not only for physical but also for psychological quarantine in the prolonged COVID-19 situation. Moreover, it is presented how an easier method of analyzing social media networks applies to those cases. The aim of this study is to assist health policymakers in fast and complex decision-making processes. News plays a major role in setting the policy agenda. Among various major media, news headlines are considered important in the field of communication science as a summary of the core content that the media wants to convey to the audiences who read it. News data used in this study was easily collected using "Bigkinds" that is created by integrating big data technology. With the collected news data, keywords were classified through text mining, and the relationship between words was visualized through semantic network analysis between keywords. Using the KrKwic program, a Korean semantic network analysis tool, text mining was performed and the frequency of words was calculated to easily identify keywords. The frequency of words appearing in keywords of articles related to COVID-19 emotions was checked and visualized in word cloud 'China', 'anxiety', 'situation', 'mind', 'social', and 'health' appeared high in relation to the emotions of COVID-19. In addition, UCINET, a specialized social network analysis program, was used to analyze connection centrality and cluster analysis, and a method of visualizing a graph using Net Draw was performed. As a result of analyzing the connection centrality between each data, it was found that the most central keywords in the keyword-centric network were 'psychology', 'COVID-19', 'blue', and 'anxiety'. The network of frequency of co-occurrence among the keywords appearing in the headlines of the news was visualized as a graph. The thickness of the line on the graph is proportional to the frequency of co-occurrence, and if the frequency of two words appearing at the same time is high, it is indicated by a thick line. It can be seen that the 'COVID-blue' pair is displayed in the boldest, and the 'COVID-emotion' and 'COVID-anxiety' pairs are displayed with a relatively thick line. 'Blue' related to COVID-19 is a word that means depression, and it was confirmed that COVID-19 and depression are keywords that should be of interest now. The research methodology used in this study has the convenience of being able to quickly measure social phenomena and changes while reducing costs. In this study, by analyzing news headlines, we were able to identify people's feelings and perceptions on issues related to COVID-19 depression, and identify the main agendas to be analyzed by deriving important keywords. By presenting and visualizing the subject and important keywords related to the COVID-19 emotion at a time, medical policy managers will be able to be provided a variety of perspectives when identifying and researching the regarding phenomenon. It is expected that it can help to use it as basic data for support, treatment and service development for psychological quarantine issues related to COVID-19.

• Korean Association of Arts Management
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• no.56
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• pp.39-87
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• 2020

This study empirically analyzed the value conflicts of cultural administration based on the needs of axiological discussions and the differences in intersubjectivity among the cultural administration groups and the contradicting attributes of culture and administration. The study classified the stakeholders into administrative staff, planners, and artists to compare their value priorities of publicness in cultural administration. A classification analysis was also conducted based on the normative by each group and the value distribution on a 2×2 value matrix between autonomy and accountability and fairness and efficiency. Based on the results of the quantitative study, the awareness of the relationships among the groups and cause and effects of value conflicts was analyzed through in-depth interviews. Thus, the study aimed to identify the directions for value distribution wherein the values of administration and culture can coexist and determine the implications of expanding this mutual understanding. The results revealed that in the conflict between autonomy and accountability, all groups had a greater awareness of accountability. In terms of normative aspects, it was possible to see a normative value line with an emphasis on autonomy, rather than on accountability from the lower stages on the budget hierarchy (administrators at the top, followed by planners and artists). In the conflict between autonomy and accountability, the size of dissonance between appropriateness and reality was the largest among the groups in the lower stages of the budget hierarchy, and became larger along the order of administrators, planners, and artists. In the conflict between efficiency and fairness, all groups had a greater awareness of efficiency. In terms of fairness in normative aspects, emphasis was placed on was artists, administrators, and planners, in that order. The size of dissonance between efficiency and fairness by groups became larger along the order of budget hierarchy-administrators, planners, and artists. Based on the results, the study compared and analyzed the 2×2 value matrix between the normative and actualities by groups. The normative value distribution emphasized Type 1 (accountability x fairness) as seeking communitarianism values through culture and Type 2 (autonomy x fairness) as seeking balanced values of cultural freedom of individualsonabalance. However, in actualities, although the communitarianism values of Type 1 were considered important, there were no distributions to the liberal values of Type 2, rather to the economic values of culture from Type 4 (accountability x efficiency). In summary, the Korean cultural administration isunderapressureof value distribution to emphasize the communitarianism and economic rather than liberal values, through bureaucratic control in actualities compared with the normative. This study will have significant implications on value distribution decision-making by groups and political implementations within the purview of cultural administration.