• Asian Journal for Public Opinion Research
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• v.11 no.3
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• pp.201-233
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• 2023

Persons with disabilities (PwD) are believed to be a group that had a greater risk during the pandemic. While PwD are vulnerable to the spread of COVID-19 due to their high dependence on physical contact, a series of policies restricting public movement during the pandemic had the potential to place PwD in increasingly marginalized situations. This situation reinforces the urgency of crisis communication as one of the critical parts of the COVID-19 response to ensure that all levels and groups of society can accept and understand the flow of information. Using a qualitative approach, this research was conducted through in-depth interviews with PwD age 17-50 in the city of Makassar, Indonesia. The results of this study suggest that crisis communication during the pandemic should involve participatory communication, which focuses on collaboration with empowerment. The PwD communities need to be actively engaged during the communication process of a pandemic crisis to ensure that inclusiveness is always taken into account. During the distribution of information, the relevant health officers or the government at the regional level need to carry out more frequent socialization and special services for PwD based on the characteristics of their disabilities.

• Asian Journal for Public Opinion Research
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• v.10 no.4
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• pp.293-315
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• 2022

Health care has become a rapidly growing industry where the role of nurses as a group of emotional labor employees is central and prone to burnout. The purpose of this study was to examine the role of supervision in moderating burnout caused by the effect of work intensity, customer contact, and self-efficacy, where the moderating role of supervision on burnout with its various predictors is still unstable. This quantitative study was based on research samples collected through questionnaires from 131 hospital nurses spread over two different locations. The questionnaire asked about supervision, work intensity, customer contact, self-efficacy and burnout used a Likert scale, which was then analyzed using SEM-PLS. The results indicated that work intensity and self-efficacy had a significant effect on burnout, while customer contact had no significant effect on burnout. Supervision as a moderator only significantly moderates the effect of work intensity on burnout, while supervision is not significant as a moderating variable on the effect of customer contact and self-efficacy on burnout. This study can contribute to the development of theories about burnout and practically can be used as a reference by policy makers in enhancing the role of supervision for nurses in hospitals.

• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.421-433
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• 2015

Recently, there have been fast-growing social network services based on the Internet environment and web technology development, the prevalence of smartphones, etc. Social networks also allow the users to convey the information and news so that they have a great influence on the public opinion formed by social interaction among users as well as the spread of information. On the other hand, these social networks also serve as perfect environments for rampant malware. Malware is rapidly being spread because relationships are formed on trust among the users. In this paper, an effective patch strategy is proposed to deal with malicious worms based on social networks. A graph is formed to analyze the structure of a social network, and subgroups are formed in the graph for the distributed patch strategy. The weighted directions and activities between the nodes are taken into account to select reliable key nodes from the generated subgroups, and the Incremental PageRanking algorithm reflecting dynamic social network features (addition/deletion of users and links) is used for deriving the high influential key nodes. With the patch based on the derived key nodes, the proposed method can prevent worms from spreading over social networks.

• Asian Journal for Public Opinion Research
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• v.8 no.2
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• pp.105-125
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• 2020

The purpose of this paper is to analyze 1) who created and distributed fake news, 2) the distribution channels of fake news, 3) who fake news has targeted, and 4) the effects on voting and the impact of fake news on Korean politics. In South Korea, fake news was mainly created by candidates or election campaigns. The reason is that in the wake of the impeachment of President Park Guen Hye, all the political parties in Korea used fake news as a means of mobilizing supporters for each of their candidates or parties to gain an advantage in situations involving political divisions and confrontations between the pro-impeachment, progressive young generation and anti-impeachment, conservative senior generation. Voters' media usage patterns were polarized through social network services (SNS) media and television. Fake news was mostly received through these two media outlets. According to the spreading structure of fake news in Korea, the younger generation generally uses SNS posts intended for unspecified individuals, and the older generation uses closed SNS like KakaoTalk or Naver's BAND. In the end, it is typically characteristic of the older generation to spread fake news through existing offline human networks. In the 2017 presidential election, fake news has been confirmed to have the effect of mobilizing supporters for each political party. In the presidential election, an increase in voter turnout was confirmed among those in their 20s and those in their 60s or older. Evidently, fake news influenced the election of Moon Jae-In. The influence of fake news is expected to grow further as ideological polarization and consequent political polarization continues to intensify in South Korea.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.199-219
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• 2018

With the everyday use of the Internet and the spread of various smart devices, users have been able to communicate in real time and the existing communication style has changed. Due to the change of the information subject by the Internet, data became more massive and caused the very large information called big data. These Big Data are seen as a new opportunity to understand social issues. In particular, text mining explores patterns using unstructured text data to find meaningful information. Since text data exists in various places such as newspaper, book, and web, the amount of data is very diverse and large, so it is suitable for understanding social reality. In recent years, there has been an increasing number of attempts to analyze texts from web such as SNS and blogs where the public can communicate freely. It is recognized as a useful method to grasp public opinion immediately so it can be used for political, social and cultural issue research. Text mining has received much attention in order to investigate the public's reputation for candidates, and to predict the voting rate instead of the polling. This is because many people question the credibility of the survey. Also, People tend to refuse or reveal their real intention when they are asked to respond to the poll. This study collected comments from the largest Internet portal site in Korea and conducted research on the 19th Korean presidential election in 2017. We collected 226,447 comments from April 29, 2017 to May 7, 2017, which includes the prohibition period of public opinion polls just prior to the presidential election day. We analyzed frequencies, associative emotional words, topic emotions, and candidate voting rates. By frequency analysis, we identified the words that are the most important issues per day. Particularly, according to the result of the presidential debate, it was seen that the candidate who became an issue was located at the top of the frequency analysis. By the analysis of associative emotional words, we were able to identify issues most relevant to each candidate. The topic emotion analysis was used to identify each candidate's topic and to express the emotions of the public on the topics. Finally, we estimated the voting rate by combining the volume of comments and sentiment score. By doing above, we explored the issues for each candidate and predicted the voting rate. The analysis showed that news comments is an effective tool for tracking the issue of presidential candidates and for predicting the voting rate. Particularly, this study showed issues per day and quantitative index for sentiment. Also it predicted voting rate for each candidate and precisely matched the ranking of the top five candidates. Each candidate will be able to objectively grasp public opinion and reflect it to the election strategy. Candidates can use positive issues more actively on election strategies, and try to correct negative issues. Particularly, candidates should be aware that they can get severe damage to their reputation if they face a moral problem. Voters can objectively look at issues and public opinion about each candidate and make more informed decisions when voting. If they refer to the results of this study before voting, they will be able to see the opinions of the public from the Big Data, and vote for a candidate with a more objective perspective. If the candidates have a campaign with reference to Big Data Analysis, the public will be more active on the web, recognizing that their wants are being reflected. The way of expressing their political views can be done in various web places. This can contribute to the act of political participation by the people.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.211-223
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• 2022

This study aims to verify the possibility of using the blog mining to collect public opinion in the field of housing policy, thus, it collected blog posts with the keyword 'Happy Housing', extracted the main keywords from them, and analyzed the public's perception through keyword and word cluster analysis. 137,002 blog posts were used as analysis data from May 2013, when social discussion about happy housing spread, to August 2021, and the words derived by dividing the period into three stages in consideration of major housing policies and data collection were analyzed. The results are as follows. In the keyword analysis, overall, the importance of words related to the location, the number, the size, and the conditions for occupancy of Happy Housing is high. In the first stage, government policy implementation, in the second stage, the application process for Happy Housing, and in the third stage, recruitment notices, occupancy qualifications, and rental conditions are found to be highly important. In cluster analysis, project progress, application process, and project area were drawn as main themes at all stages. In particular, policy implementation and implementation plan in the first stage, occupancy qualification and financial support in the second stage, and policy implementation and occupancy qualification in the third stage were drawn as main themes. These results present the possibility of the blog mining as a method of collecting public opinion by sharing policy-related information, reflecting social issues, evaluating whether policies are delivered, and inferring the public's participation in policies.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.1
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• pp.139-160
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• 2023

The research was undertaken to explore the role of the public library as a public sphere. For this, the characteristics and meanings of the library's role were examined by analyzing the public spheres operated by the public library. Data were collected through interviews with librarians at Seongbuk Public Libraries in Seoul. Data collected were coded using NVivo for thematic analysis. As a result of the study, the characteristics and meanings of the library's role in the public sphere were identified in the following five types; 1) A place for meeting, communication and interaction of citizens, 2) Supporting citizen learning and growth through information services and discussion on the subject, 3) Expanding civic participation in the community and strengthen civic power, 4) Strengthening citizens' experience of democracy, 5) Improving citizens' perception of libraries and expanding the library's influence on citizens. In particular, it was found that information services enhance citizen interaction and spread of public opinion on the agenda. The results of this study can be used as a basis for developing and supporting libraries as community public spheres.

• Journal of the Korean Society of Food Culture
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• v.26 no.5
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• pp.437-444
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• 2011

This study was performed to approach the 2004 case of inferior quality mandu stuffing from the stance of food ethics. The court convicted the producers of inferior quality mandu stuffing and also decided against the plaintiffs who filed a damage suit. The core of the mandu stuffing case was not safety, but the wholesomeness. The principles of food ethics include a respect for life, justice, environmental preservation, and the priority of safety. The virtues of food professionals include wisdom, honesty, faithfulness, courage, moderation, and integrity. A food producer should possess not only the ability but also the morality to make food. The consumer should urge the producers to strengthen their morality and be conscious of responsibility and fairness. The government should organize a system to establish food ethics, and make efforts to reduce wasteful law enforcement. The media should lead public opinion toward justice by doing an unbiased and in-depth report and help establish the idea of food ethics. The necessity of food ethics and the spread of the ethical mind are the most important points of all.

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.23-36
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• 2024

Interest in virtual humans continues to increase due to the development of generative AI, extended reality, computer graphics technology, and the spread of a converged metaverse that goes beyond the boundaries between reality and virtuality. Despite the negative public opinion that virtual humans were just temporary form of entertainment event in the early days of their emergence, the reason they are showing continuous growth is due to the unique characteristics of virtual humans and the expansion of diverse usage from technological advancements. The production of video content using virtual humans is becoming vigorously active, but currently there is limitation and no exact process for the technology to apply virtual humans to video content for it to be produced accordingly to the characteristics or situations of virtual humans. In this study, we investigated the characteristics of virtual human production technology methods & processes, and identifying the impact of each production technology on the production environment through examples of virtual human content applied to domestic and international video contents. In conclusion, by proposing an appropriate production method for each content, we hope to develop and assist production practitioners so they can effectively use virtual humans in video content production.