Influence of Public Engagement with Science on Scientific Information Literacy During the COVID‑19 Pandemic: Empirical Evidence from College Students in China

Cyber anti-intellectualism and science communication during the COVID-19 pandemic: a cross-sectional study

Background

During the COVID-19 pandemic, science communication played a crucial role in disseminating accurate information and promoting scientific literacy among the public. However, the rise of anti-intellectualism on social media platforms has posed significant challenges to science, scientists, and science communication, hindering effective public engagement with scientific affairs. This study aims to explore the mechanisms through which anti-intellectualism impacts science communication on social media platforms from the perspective of communication effect theory.

Method

This study employed a cross-sectional research design to conduct an online questionnaire survey of Chinese social media users from August to September 2021. The survey results were analyzed via descriptive statistics, t-tests, one-way ANOVA, and a chain mediation model with SPSS 26.0.

Results

There were significant differences in anti-intellectualism tendency among groups of different demographic characteristics. The majority of respondents placed greater emphasis on knowledge that has practical benefits in life. Respondents' trust in different groups of intellectuals showed significant inconsistencies, with economists and experts receiving the lowest levels of trust. Anti-intellectualism significantly and positively predicted the level of misconception of scientific and technological information, while significantly and negatively predicting individuals' attitudes toward science communication. It further influenced respondents' behavior in disseminating scientific and technological information through the chain mediation of scientific misconception and attitudes toward science communication.

Conclusion

This research enriches the conceptual framework of anti-intellectualism across various cultural contexts, as well as the theoretical framework concerning the interaction between anti-intellectualism and science communication. The findings provide suggestions for developing strategies to enhance the effectiveness of science communication and risk communication during public emergencies.

Bringing Pandemic Science to the Classroom: Building Public Health Capacity at a Rural Kentucky High School

In response to the COVID-19 pandemic, a multidisciplinary team at the University of Kentucky developed an interdisciplinary science, technology, engineering, and mathematics and environmental health unit-the Wastewater Assessment for Coronavirus in Kentucky: Implementing Enhanced Surveillance Technology (WACKIEST) Unit-for high school students in summer 2022. This case study outlines the WACKIEST Unit, which focused on wastewater surveillance and COVID-19, the obstacles faced during development and recruitment, and implementation of the WACKIEST Unit in conjunction with a rural wastewater surveillance initiative. The unit was implemented in spring 2023 at a rural high school in Kentucky, spanning 12 days and engaging 190 students. Lessons emphasized the importance of wastewater testing in public health decision-making, particularly in the context of COVID-19. A mobile laboratory provided students with hands-on experience in conducting preliminary analyses of wastewater, and a field trip to the local wastewater treatment plant allowed them to observe real-world wastewater management practices. At the unit's conclusion, students created a public health report aligned with the Evidence-Informed Decision Making in Public Health model, reinforcing the goal of fostering community health resilience. The initiative's success-measured by the unit's completion and positive feedback from students and teachers-supports the creation of online modules for broader dissemination. This case study demonstrates how adaptable interdisciplinary approaches can integrate real-world scientific issues into secondary education, offering valuable insights for future efforts in public health education.

Complexity of Government response to COVID-19 pandemic: a perspective of coupled dynamics on information heterogeneity and epidemic outbreak

This study aims at modeling the universal failure in preventing the outbreak of COVID-19 via real-world data from the perspective of complexity and network science. Through formalizing information heterogeneity and government intervention in the coupled dynamics of epidemic and infodemic spreading, first, we find that information heterogeneity and its induced variation in human responses significantly increase the complexity of the government intervention decision. The complexity results in a dilemma between the socially optimal intervention that is risky for the government and the privately optimal intervention that is safer for the government but harmful to the social welfare. Second, via counterfactual analysis against the COVID-19 crisis in Wuhan, 2020, we find that the intervention dilemma becomes even worse if the initial decision time and the decision horizon vary. In the short horizon, both socially and privately optimal interventions agree with each other and require blocking the spread of all COVID-19-related information, leading to a negligible infection ratio 30 days after the initial reporting time. However, if the time horizon is prolonged to 180 days, only the privately optimal intervention requires information blocking, which would induce a catastrophically higher infection ratio than that in the counterfactual world where the socially optimal intervention encourages early-stage information spread. These findings contribute to the literature by revealing the complexity incurred by the coupled infodemic-epidemic dynamics and information heterogeneity to the governmental intervention decision, which also sheds insight into the design of an effective early warning system against the epidemic crisis in the future.

Who should be a science communicator? The struggle for 'legitimate' status as science communicators between Chinese scientists and citizens on a Chinese knowledge-sharing platform

Qualitative interviews with Chinese scientist science communicators (n = 15) and citizen science communicators (n = 15) on Zhihu suggest that there is a struggle between the two groups to be seen as legitimate science communicators online. Public users tried to show their enthusiasm as science communicators, integrate into the circle of science communicators and blur the boundary between scientists and themselves. The participating scientists tend to discount such activity and indicate that they are more legitimate science communicators, possessing the requisite scientific literacy and noble personal morality.

Critical Rationalism and Trust in Science

In this paper, I consider whether the critical rationalist philosophy of science may provide a rationale for trusting scientific knowledge. In the first part, I refer to several insights of Karl Popper's social and political philosophy in order to see whether they may be of help in offsetting the distrust of science spawned by the COVID-19 pandemic. In the second part, I address the more general issue of whether the theoretical principles of the critical rationalist philosophy of science may afford a foundation for building trust in science. Both parts of the discussion, confined for the sake of the argument largely to the repudiation of the concept of good reasons for considering a theory to be true, imply that this question would have to be answered negatively. Against this, I argue that such a conclusion is based on a misconception of the nature of scientific knowledge: critical rationalism views science as a cognitive regime which calls for bold theories and at the same time demands a rigorous and continuous distrust towards them, and it is precisely this attitude that should be adopted as a compelling argument for trusting science.

The effects of misinformation on COVID-19 vaccine hesitancy in Bangladesh

Purpose

The main purpose of this study is to assess the prevalence of COVID-19 vaccine hesitancy among the general population in Bangladesh and the role of misinformation in this process.

Design/methodology/approach

An online survey was conducted to assess COVID-19 vaccine hesitancy among ordinary citizens. In addition to demographic and vaccine-related information, a five-point Likert scale was used to measure vaccine-related misinformation beliefs and how to counter them. Chi-square tests were used to examine the relationship between demographic variables and vaccine acceptance. A binary logistic regression analysis was conducted to identify vaccine hesitancy by different demographic groups. Nonparametric Mann–Whitney and Kruskal–Wallis tests were performed to determine the significance of difference between demographic groups in terms of their vaccine-related misinformation beliefs. Finally, the total misinformation score was computed to examine the correlation between vaccine hesitancy and the total score.

Findings

This study found that nearly half of the respondents were willing to receive COVID-19 vaccine, whereas more than one third of the participants were unsure about taking the vaccine. Demographic variables (e.g., gender, age and education) were found to be significantly related to COVID-19 vaccine acceptance. The results of binary logistic regression analysis showed that respondents who were below 40 years of age, females and those who had lower education attainments had significantly higher odds of vaccine hesitancy. There were significant differences in participants’ vaccine-related misinformation beliefs based on their demographic characteristics, particularly in the case of educational accomplishments. A highly significant negative correlation was found between total misinformation score and vaccine acceptance.

Research limitations/implications

The survey was conducted online, and therefore, it automatically precluded non-internet users from completing the survey. Further, the number of participants from villages was relatively low. Overall, the results may not be representative of the entire population in Bangladesh.

Practical implications

The findings of this paper could guide government agencies and policymakers in devising appropriate strategies to counter COVID-related misinformation to reduce the level of vaccine hesitancy in Bangladesh.

Originality/value

To the authors’ best knowledge, this study is the first to measure the level of COVID-19 vaccine hesitancy and the influence of misinformation in this process among the general public in Bangladesh.