Communication inequalities in the COVID-19 pandemic: socioeconomic differences and preventive behaviors in the United States and South Korea.

BACKGROUND: Communication inequalities are important mechanisms linking socioeconomic backgrounds to health outcomes. Guided by the structural influence model of communication, this study examined the intermediate role of health communication in the relationship between education, income, and preventive behavioral intentions during the COVID-19 pandemic in the United States and South Korea. METHODS: The data were collected through two online surveys conducted by two professional research firms in the US (April 1-3, 2020) and South Korea (April 9-16, 2020). To test the mediating role of health communication, as well as the hypothesized relationships in the proposed model, we performed a path analysis using Mplus 6.1. RESULTS: In analyzing survey data from 1050 American and 1175 Korean adults, we found that one's socioeconomic positions were associated with their intentions to engage in COVID-19 preventive behaviors through affecting their health communication experiences and then efficacious beliefs. Differences in education and income were associated with willingness to engage in preventive behaviors by constraining health communication among people with low levels of education and income. The findings showed notable differences and some similarities between the US and South Korea. For example, while income was positively associated with health communication in both US and South Korea, education was only significantly related to health communication in US but not in South Korea. CONCLUSIONS: This study suggests health communication strategies such as choice of communication channels and messages to promote intention for COVID-19 prevention behaviors in particular consideration of individual differences in socioeconomic positions in countries with different cultural features. Pubic policies and health campaigns can utilize the suggestions to promote efficacy and preventive behavioral intention during early pandemics.

Trust Matters: The Effects of Social Media Use on the Public's Health Policy Support Through (mis)beliefs in the Context of HPV Vaccination.

This study examines whether social media exposure is associated with the public's beliefs and misbeliefs about human papillomavirus (HPV) vaccination and how those (mis)beliefs are associated with the public's support for HPV vaccination-related policies. This study also explores whether trust in HPV vaccination-related regulatory organizations moderates the associations between social media exposure and public policy support through (mis)beliefs. We found that social media exposure was positively associated with misbeliefs about HPV vaccination. The findings also indicated that while beliefs about benefits were positively associated with policy support for HPV vaccination, misbeliefs were negatively associated with this support. More interestingly, our analysis revealed that the negative association of HPV-related misbeliefs with vaccination policy support was larger for those who had low levels of trust, compared to their high-trust counterparts.

The Effects of Social Media Use on Preventive Behaviors during Infectious Disease Outbreaks: The Mediating Role of Self-relevant Emotions and Public Risk Perception.

While there has been increasing attention to the role of social media during infectious disease outbreaks, relatively little is known about the underlying mechanisms by which social media use affects risk perception and preventive behaviors during such outbreaks. Using data collected during the 2015 Middle East Respiratory Syndrome coronavirus (MERS-CoV) outbreak in South Korea, this study explores the relationships among social media use, risk perception, and preventive behaviors by examining the mediating role of two self-relevant emotions: fear and anger. The findings demonstrate that social media use is positively related to both of these emotions, which are also positively related to the public's risk perception. The findings also indicate that social media use can significantly increase preventive behaviors via the two self-relevant emotions and the public's risk perception.

How Fear-Arousing News Messages Affect Risk Perceptions and Intention to Talk About Risk.

Building on the theoretical arguments of the impersonal-impact and differential-impact hypotheses, this study has a twofold purpose: first, to demonstrate how fear-arousing media messages about risk are associated with personal-level risk perception, as well as, and perhaps more so than, societal-level risk perception; and second, to examine how the resulting risk perceptions can mediate intention to talk about the risk with family and friends. A news message evaluation study was conducted among the general public in South Korea concerning two major risks, carcinogens and bovine spongiform encephalopathy (BSE). Two sets of structural equation models reveal three main findings: (a) Fear-arousing news messages are positively related to personal-level risk perception, as well as to societal-level risk perception; (b) fear-arousing news messages result in intention to talk about the risk directly and indirectly through risk perception; and

The impact of accident attention, ideology, and environmentalism on American attitudes toward nuclear energy.

This study involves the analysis of three waves of survey data about nuclear energy using a probability-based online panel of respondents in the United States. Survey waves included an initial baseline survey conducted in early 2010, a follow-up survey conducted in 2010 following the Deepwater Horizon oil spill in the Gulf of Mexico, and an additional follow-up conducted just after the 2011 Fukushima, Japan, nuclear accident. The central goal is to assess the degree to which changes in public views following an accident are contingent on individual attention and respondent predispositions. Such results would provide real-world evidence of motivated reasoning. The primary analysis focuses on the impact of Fukushima and how the impact of individual attention to energy issues is moderated by both environmental views and political ideology over time. The analysis uses both mean comparisons and multivariate statistics to test key relationships. Additional variables common in the study of emerging technologies are included in the analysis, including demographics, risk and benefit perceptions, and views about the fairness of decisionmakers in both government and the private sector.

Predicting scientists' participation in public life.

This research provides secondary data analysis of two large-scale scientist surveys. These include a 2009 survey of American Association for the Advancement of Science (AAAS) members and a 2006 survey of university scientists by the United Kingdom's Royal Society. Multivariate models are applied to better understand the motivations, beliefs, and conditions that promote scientists' involvement in communication with the public and the news media. In terms of demographics, scientists who have reached mid-career status are more likely than their peers to engage in outreach, though even after controlling for career stage, chemists are less likely than other scientists to do so. In terms of perceptions and motivations, a deficit model view that a lack of public knowledge is harmful, a personal commitment to the public good, and feelings of personal efficacy and professional obligation are among the strongest predictors of seeing outreach as important and in participating in engagement activities.