• Journal of Korea Society of Industrial Information Systems
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• v.26 no.6
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• pp.47-60
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• 2021

Since the outbreak of COVID-19 in 2019, the pandemic has been prolonged. This study compares and analyzes the degree of social media usage, the information type of posts (infectious disease information, promote action, psychological communication), and the level of user engagement in conducting crisis communication by country. We conduct text analysis by collecting information on Facebook and YouTube posts from January 2020 to March 2021 of disease control and prevention agencies in Korea, US, UK, and EU. As a result, the use of social media in Korea and US is higher than of the UK and EU, and all four countries are using social media as a means to provide infectious disease information and to promote action. Although social media can be a means to reach the public psychologically, such as sympathy and respect, there are no posts of psychological communication type on social media in countries other than the US. User engagement with posts is highest in the promotion action type. This study can help define the importance and role of social media in establishing an infectious disease crisis communication strategy.

• 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.

• Journal of Preventive Medicine and Public Health
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• v.53 no.6
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• pp.429-438
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• 2020

Objectives: Given that Argentinian public-sector workers are highly exposed to stressful conditions, and that the psychometric properties of the widely used Perceived Stress Scale (PSS) should be evaluated in different settings, this work aimed to compare the psychometric properties of the Latin American Spanish PSS-10 and PSS-4 and to identify the optimal scale for stress assessment. Methods: A sample of 535 participants was randomly divided into 2 groups to evaluate dimensionality by exploratory and confirmatory factor analyses. The reliability of both scales was also evaluated. Convergent validity was estimated using the Executive Complaints Questionnaire, the average variance extracted, and the composite reliability. Discriminant validity was based on the correlation with the Utrecht Work Engagement Scale and the phi-square correlation between the components. Results: The factor analyses supported bidimensionality of the PSS-10 (stress and coping), which showed a better fit than the PSS-4. Moreover, the reliability of the PSS-10 was higher, whereas the PSS-4 did not achieve adequate values of internal consistency. The PSS-10 was also correlated significantly with all validation scales, and presented proper internal convergent and divergent validity. Conclusions: The PSS-10 is a reliable and structurally valid instrument to measure perceived stress and coping in a Latin American Spanish-speaking population with high work demands, and the findings of this study expand our knowledge on the geographical and sociocultural applicability of the PSS.

• Journal of Environmental Health Sciences
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• v.45 no.4
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• pp.340-357
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• 2019

The purpose of this paper is to help develop a comprehensive understanding of the humidifier disinfectant disaster from diverse perspectives based on a critical review of the relevant academic research papers published so far in the fields of both natural and social science. The authors reviewed pertinent articles in the six academic areas of law, social science, humanities, medicine, toxicology, and environmental health. A proper understanding of the issue of humidifier disinfectant is a challenging task because diverse aspects of it have become related over the more than two decades since such products were first released to the market in 1994. Technical and esoteric issues such as the complex system for relief and compensation for health damages and the approval of chemical toxicity are known to be major impediments to viewing the bigger picture regarding this tragedy. The authors believe that experts need to consider a comprehensive perspective going beyond their individual research arena to gain a better understanding of this issue, especially since it was an alarm signal on ethics and the role of experts and scholars in Korean society. Besides the two professors arrested by the prosecutor's office, it should be remembered that medical doctors recommended patients use humidifiers and disinfectants, and the media was inactive in reporting on this issue. Furthermore, the current paucity of examination of the social and political implications of this tragedy calls for more active engagement by researchers in the humanities and social sciences. In this regard, this paper is a work of self-examination and self-criticism by the authors that could resonate with the overall academic community.

• Journal of Korean Academy of Nursing
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• v.51 no.1
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• pp.68-79
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• 2021

Purpose: This study aimed to analyze the mass and social media contents and structures related to particulate matter before and after the policy enforcement of the comprehensive countermeasures for particulate matter, derive nursing implications, and provide a basis for designing health policies. Methods: After crawling online news articles and posts on social networking sites before and after policy enforcement with particulate matter as keywords, we conducted topic and semantic network analysis using TEXTOM, R, and UCINET 6. Results: In topic analysis, behavior tips was the common main topic in both media before and after the policy enforcement. After the policy enforcement, influence on health disappeared from the main topics due to increased reports about reduction measures and government in mass media, whereas influence on health appeared as the main topic in social media. However semantic network analysis confirmed that social media had much number of nodes and links and lower centrality than mass media, leaving substantial information that was not organically connected and unstructured. Conclusion: Understanding of particulate matter policy and implications influence health, as well as gaps in the needs and use of health information, should be integrated with leadership and supports in the nurses' care of vulnerable patients and public health promotion.

• Asian Journal for Public Opinion Research
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• v.12 no.1
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• pp.53-74
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• 2024

The proliferation of health misinformation gained momentum amidst the outbreak of the novel coronavirus disease 2019 (COVID-19). People stuck in their homes, without work pressure, regardless of health concerns towards personal, family, or peer groups, consistently demanded information. People became engaged with misinformation while attempting to find health information content. This study used the content analysis method and analyzed 1,154 misinformation stories from four prominent signatories of the International Fact-Checking Network during the pandemic. The study finds the five main categories of misinformation related to the COVID-19 pandemic. These are 1) the severity of the virus, 2) cure, prevention, and treatment, 3) myths and rumors about vaccines, 4) health authorities' guidelines, and 5) personal and social impacts. Various sub-categories supported the content characteristics of these categories. The study also analyzed the emotional valence of health misinformation. It was found that misinformation containing negative sentiments got higher engagement during the pandemic. Positive and neutral sentiment misinformation has less reach. Surprise, fear, and anger/aggressive emotions highly affected people during the pandemic; in general, people and social media users warning people to safeguard themselves from COVID-19 and creating a confusing state were found as the primary motivation behind the propagation of misinformation. The present study offers valuable perspectives on the mechanisms underlying the spread of health-related misinformation amidst the COVID-19 outbreak. It highlights the significance of discerning the accuracy of information and the feelings it conveys in minimizing the adverse effects on the well-being of public health.

• Journal of Technology Innovation
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• v.24 no.3
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• pp.107-137
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• 2016

By analyzing a nationwide survey on Korean publics, this study examines the social determinants of public support for three types of scientific research-basic research aimed at pure knowledge, applied research toward industrial application, and research for social problem-solving which aims to enhance ordinary citizens' quality of life. The present study finds the differential effects of social- and political value orientations on the level of public support for respective types of research. As ones have more progressive in their subjective political orientations, they are more likely to support research for social problem-solving than other types of research, while conservatives tend to support basic research and those with neo-liberal ideology tend to support applied research. The Korean public also tends to perceive research for social problem-solving as a counter to basic research while it has been developed against the conventional emphasis on applied research in Korea. Also, the level of support for research for social problem-solving increases with the higher level of trust in scientific authority and expertise, while it has been developed against expertism and included public engagement in science as an important element. Finally, those who have lower income tend to support for research for social problem-solving than other types of research. The implications of these findings are discussed.

• Information Systems Review
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• v.26 no.2
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• pp.95-121
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• 2024

The rapid increase in smartphone ownership underscores the importance of service delivery in the mobile environment. Accordingly, the public sector is allocating budget and effort towards providing services through mobile applications. While some have recorded high download numbers, contributing to the proliferation of public services, issues such as low user engagement and budgetary concerns have simultaneously been raised. This study aims to analyze factors influencing the intention to use public apps with the theoretical foundation of the Technology Readiness Acceptance Model (TRAM) to enhance users' acceptance of public apps. Previous research has primarily focused on system characteristics, but this study constructs the model with a significant consideration for user characteristics. Additionally, through a comprehensive examination of publicness, which has been lacking in existing research, the study integrates this aspect into the model. Ultimately, this research provides insights into the factors influencing users' intention to use public apps and suggests approaches to enhance usage intention for the successful implementation of a Digital Platform Government.

• Informatization Policy
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• v.30 no.4
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• pp.113-137
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• 2023

This study aims to conduct the classification of Government as a Platform (GaaP) in a situation where the concept of GaaP can be diversely recognized. This is because inclusiveness and ambiguity in the concept of GaaP can hinder policy enforcement by working-level officials in the public sector. It drew the criteria for classification for GaaP based on literature and cases for GaaP. In the technical aspect, considering data as an overarching factor, the integrated system platform integrating the information system or websites of the public sector and the data platform as a single portal for open data to external stakeholders were sorted. In the governance aspect considering stakeholder as an overarching factor, the communication platform utilized for interaction between public and private sectors and the co-creation platform that encourages public-private partnership to create innovative outcomes were sorted. It suggested an actual implementation case and the policy implication according to each type of GaaP. Additionally, according to the classification of GaaP, it conducted contents analysis as to which type of GaaP the domestic Digital Platform Government belongs to based on its detailed assignment. Based on the classification of GaaP, it drew balanced implementation for various types of GaaP, plan for promoting the participation and collaboration of stakeholders, and necessity of restructuring and reinventing of the public sector as policy implications for the domestic digital platform government.

• Journal of Practical Engineering Education
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• v.10 no.2
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• pp.103-111
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• 2018

The purpose of this study is to suggest change probability of vocational education and training and support of teaching-learning methods. For this study, we applied a flipped learning strategy of two learning modules in Convergence Technology Campus of public vocational education and training institute and had an operation class. As a result, student satisfaction of flipped learning is 4.0 on average. 56.1% of education-trainees were higher an engagement of flipped learning class than teacher-centered class and 56.1% of education-trainees were used more learning energy. Based on results, we suggested the necessity of pre-learning system for application of education and training teaching methods on the 4th industry occupation and strategies to enhance teaching and learning competency.