• Asian Journal for Public Opinion Research
• /
• v.12 no.1
• /
• pp.1-27
• /
• 2024

This study investigates the interplay between transformational leadership, personality, and work stress in public organizations, focusing on public servants in Putrajaya, Kuala Lumpur. Data from 702 public servants in Putrajaya, Kuala Lumpur, out of 800 distributed questionnaires, were analyzed. Rigorous analysis employed a structural equation model (SEM) with partial least squares (PLS-SEM) methodology. Our empirical analysis challenges the conventional belief of a positive correlation between transformational leadership and work stress in public organizations, revealing no direct link between transformational leadership and increased work stress in this context. Our study highlights a significant positive correlation between personality and work stress among public servants, emphasizing the role of individual personality characteristics in shaping work-related stress levels. Finally, personality emerged as a crucial mediator in the transformational leadership-work stress relationship, indicating that transformational leadership indirectly influences work stress through its impact on personality. This underscores the importance of considering personality as a mediating factor in understanding the transformational leadership-work stress dynamic in public organizations. In summary, our research provides insights into the relationship between transformational leadership, personality, and work stress in public organizations. These findings challenge conventional assumptions, emphasize individual differences in stress levels, and underscore the mediating role of personality in addressing work stress among public servants.

• Asian Journal for Public Opinion Research
• /
• v.10 no.2
• /
• pp.76-101
• /
• 2022

Despite the increasing use of digital media and their powerful impact on risk management during recent outbreaks of emerging infectious diseases, the question of how digital media exposure influences preventive behaviors has not been fully explained. Using the appraisal tendency framework and protection motivation theory as theoretical frameworks, we theorized the affective and cognitive mechanisms under which the differential roles of three negative emotions (fear, anger, worry) on two cognitive appraisals (perceived threat and perceived efficacy) were examined. Based on data collected from a survey of 1,500 South Koreans during the COVID-19 pandemic, we found that while worry and anger increased perceived efficacy, fear reduced perceived efficacy. The results also showed that although exposure to COVID-19 information via digital formats increased preventive behavioral intention in general, digital media use for COVID-19 information had a negative influence on preventive behavioral intention through the sequential mediation of fear and perceived efficacy.

• Asian Journal for Public Opinion Research
• /
• v.10 no.3
• /
• pp.178-199
• /
• 2022

Two surveys for exploring communicative paths toward political participation were conducted with relatively large samples of Americans (N = 1001) and South Koreans (N = 1166). Hierarchical regression modeling of the relationships among demographics, personal networks, news consumption, and cross-cutting discussion and political participation demonstrated mostly commonalities between the two samples, including the interaction between political diversity and Twitter usage for news access but with distinct effect sizes of cross-cutting discussion on political participation. We attribute the differences to the two countries' distinct histories of democracy and culture, and the commonalities to the general relationships between cross-cutting discussion and political participation moderated by strong ties political homogeneity.

• Informatization Policy
• /
• v.24 no.4
• /
• pp.3-16
• /
• 2017

With the development of social media services in the era of Web 2.0, the public opinion formation site has been partially shifted from the traditional mass media to social media. This phenomenon is continuing to expand, and public opinions on government polices created and shared on social media are attracting more attention. It is particularly important to grasp public opinions in policy formulation because setting up educational policies involves a variety of stakeholders and conflicts. The purpose of this study is to explore public opinions about education-related policies through an empirical analysis of social media documents on education policies using opinion mining techniques. For this purpose, we collected the education policy-related documents by keyword, which were produced by users through the social media service, tokenized and extracted sentimental qualities of the documents, and scored the qualities using sentiment dictionaries to find out public preferences for specific education policies. As a result, a lot of negative public opinions were found regarding the smart education policies that use the keywords of digital textbooks and e-learning; while the software education policies using coding education and computer thinking as the keywords had more positive opinions. In addition, the general policies having the keywords of free school terms and creative personality education showed more negative public opinions. As much as 20% of the documents were unable to extract sentiments from, signifying that there are still a certain share of blog posts or tweets that do not reflect the writers' opinions.

• Journal of Public Diplomacy
• /
• v.1 no.2
• /
• pp.49-74
• /
• 2021

In this paper, I applied grounded theory in exploring how Twitter became the battlefield for China's public diplomacy campaign. China's new move to global social media platforms, such as Twitter and Facebook, has been a controversial strategy in public diplomacy. This study analyzes Chinese Foreign Spokesperson Zhao Lijian's Twitter posts and comments. It models China's recent diplomatic move to Twitter as a "war of words" model, with features including "leadership," "polarization," and "aggression," while exerting possible effects as "resistance," "hatred," and "sarcasm" to the global community. Our findings show that by failing to gage public opinion and promote the country's positive image, China's current digital diplomacy strategy reflected by Zhao Lijian's tweets has instead constructed a polarized political public sphere, contradictory to the country's promoted "shared human destiny." The "war of words" model extends our understanding of China's new digital diplomacy move as a hybrid of state propaganda and self-performance. Such a strategy could spread hate speech and accelerate political polarization in cyberspace, despite improvements to China's homogenous network building on Twitter.

• Asian Journal for Public Opinion Research
• /
• v.11 no.4
• /
• pp.327-357
• /
• 2023

Adopting the Tools of Liberalism and Clash of Civilizations theories of international relations, this study examines the perceptions of 25,406 Arabs in 11 Arab countries as expressed in an Arab Barometer survey exploring their perceptions of violence against the United States (US), American citizens as "good," President Donald Trump's foreign policy in the Middle East, increasing economic relations with the US, and welcoming American foreign aid. As aspects of the Clash of Civilizations theory, this study examines religiosity, religious ritual practices, and political Islam and, as aspects of liberalism, this study explores the roles of online media as well as perceptions about US foreign aid in the prediction of the criterion variables. The findings suggest that religious indicators, and aspects of the Clash of Civilizations generally, were negative predictors of the perceptions, while social media and motivations for US foreign aid as aspects of liberalism, positively predicted the perceptions. The study discusses the results in relation to implications for policy makers.

• Nuclear Engineering and Technology
• /
• v.51 no.2
• /
• pp.626-630
• /
• 2019

After several significant nuclear accidents, public attitudes toward nuclear energy technologies and facilities are considered to be one of the essential factors in the national energy and electricity policy-making process of several nations that employ nuclear energy as their key energy resource. However, it is difficult to explore and capture such an attitude, because the majority of prior studies analyzed public attitudes with a limited number of respondents and fragmentary opinion polls. In order to supplement this point, this study suggests a big data analyzing method with K-LIWC (Korean-Linguistic Inquiry and Word Count), sentiment and query analysis methods, and investigates public attitudes, positive and negative emotional statements about nuclear energy with the collected data sets of well-known social media and network services in Korea over time. Results show that several events and accidents related to nuclear energy have consistent or temporary effects on the attitude and ratios of the statements, depending on the kind of events and accidents. The presented methodology and the use of big data in relation to the energy industry is suggested as it can be helpful in addressing and exploring public attitudes. Based on the results, implications, limitations, and future research areas are presented.

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

• The Journal of Sustainable Design and Educational Environment Research
• /
• v.8 no.2
• /
• pp.1-11
• /
• 2009

The school complex project is driven by public calling for school facilities change due to the social change followed by the aging society and increasing interest in the lifelong education. The school complex project is defined as an activity in which the school facilities and space are not only used for students, but also for the local residents. Since the project was promoted in a link with reform of the education system in 2001, the demand in the expectation effect has been sharply increasing. Despite of the high expectation and attention, the school complex project, however, has been performed in a limit of efficiency. Consequently, public opinion calling for more structured and effective way on construction and administration has been certainly increasing. According to the strong demand, this study was carried out to provide basic data for, and suggest an approach to, more structured and effective way of establishment and administration of the school complex project by comparing the success cases in Seoul metropolitan city.

• Korean journal of communication and information
• /
• v.59
• /
• pp.138-161
• /
• 2012

This study is designed to explore the function of Twitter as a campaign platform during election campaign. For exploring the function of Twitter the form of tweet, the type of information on tweet and the way of opinion expression via Twitter were discussed by content analysis. This study finds, first, that, netizens express their opoinion of candidates without foundation and with emotional reactions. Second, they showed somewhat conflictive reactions according to their supporting candidates. This study conceptualized various kinds of public as 'blindly support public,' and 'blindly opposition public' in case of Park's supporters, 'rational support public,' and 'critical opposition public' in case of Na's supporters. Third, Park's supporters debated Na candidate's attitude of debate and her appearance blindly without foundation. Na's supporters argued Park's attitude of debate and his ignorance of Seoul Metropolitan government's policy blindly without foundation. Finally, this study discussed the relationship between the political discourse according to netizens' supporting via Twitter and the results of election. Park whose supporters attacked the opposing candidate by blaming her appearance and her attitude of debate won the election. Na didn't overcome her negative images. For her Twitter functioned as a media which is spreading negative factors about her. In conclusion, Twitter as a campaign platform during election times plays a key role in discussing candidates. However, netizens need to express their opinions with foundation and the candidates have to consider negative issue management. This study highlights the importance of peripheral factors which have a decisive effect on the results of election. The results of this study is useful for building political campaign strategy by candidates.