Vaccination homophily in ego contact networks during the COVID-19 pandemic.

Vaccine hesitancy is an inevitable risk for societies as it contributes to outbreaks of diseases. Prior research suggests that vaccination decisions of individuals tend to spread within social networks, resulting in a tendency to vaccination homophily. The clustering of individuals resistant to vaccination can substantially make the threshold necessary to achieve herd immunity harder to reach. In this study, we examined the extent of vaccination homophily among social contacts and its association with vaccine uptake during the COVID-19 pandemic in Hungary using a contact diary approach in two cross-sectional surveys. The results indicate strong clustering among both vaccinated and unvaccinated groups. The most powerful predictor of vaccine uptake was the perceived vaccination rate within the egos' social contact network. Vaccination homophily and the role of the interpersonal contact network in vaccine uptake were particularly pronounced in the networks of close relationships, including family, kinship, and strong social ties of the ego. Our findings have important implications for understanding COVID-19 spread dynamics by showing that the strong clustering of unvaccinated individuals posed a great risk in preventing the spread of the disease.

When reality knocks on the door. The effect of conspiracy beliefs on COVID-19 vaccine acceptance and the moderating role of experience with the virus.

RATIONALE: Prior research suggests that belief in conspiracy theories can reduce the willingness of individuals to get vaccinated during the COVID-19 pandemic. Examining factors that may moderate this negative effect is an important area of research. OBJECTIVES: The objective of this study was to examine the relationship between vaccine uptake and two types of conspiracy beliefs (COVID-19 and vaccine-related) and the moderating role of direct and indirect experiences with the coronavirus. METHODS: We draw on nationally representative survey data collected in Hungary in January 2022 (N=1000, 47% male, 53% female; mean age 49.6 years). Structural equation models and multi-group analysis were performed. RESULTS: Conspiracy beliefs were strongly associated with vaccine uptake, however, both direct and indirect experiences with the virus moderated the effect of conspiracy beliefs. Individuals who experienced a serious infection or reported a close person being infected by the virus developed severe symptoms or even died were less likely to take conspiracy theories seriously when deciding about their own vaccination. In two out of the four tested moderation effects, a negative experience with the virus reduced the negative effect of conspiracy beliefs. DISCUSSION: Our findings demonstrate that personal or close real-life experience with severe COVID-19 infection can significantly mitigate the impact of conspiracy beliefs on vaccine hesitancy, highlighting the importance of real-life evidence in overcoming misinformation and increasing vaccine uptake. Nevertheless, it is important to mention that our results are preliminary, and future studies need to replicate the findings and test their robustness.

Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data Visualizations.

Trust is an essential aspect of data visualization, as it plays a crucial role in the interpretation and decision-making processes of users. While research in social sciences outlines the multi-dimensional factors that can play a role in trust formation, most data visualization trust researchers employ a single-item scale to measure trust. We address this gap by proposing a comprehensive, multidimensional conceptualization and operationalization of trust in visualization. We do this by applying general theories of trust from social sciences, as well as synthesizing and extending earlier work and factors identified by studies in the visualization field. We apply a two-dimensional approach to trust in visualization, to distinguish between cognitive and affective elements, as well as between visualization and data-specific trust antecedents. We use our framework to design and run a large crowd-sourced study to quantify the role of visual complexity in establishing trust in science visualizations. Our study provides empirical evidence for several aspects of our proposed theoretical framework, most notably the impact of cognition, affective responses, and individual differences when establishing trust in visualizations.

Fear of COVID-19 reinforces climate change beliefs. Evidence from 28 European countries.

The long-term nature of climate policy measures requires stable social legitimacy, which other types of crises may jeopardize. This article examines the impact of the COVID-19 fear on climate change beliefs based on an autumn 2020 population survey in the Member States of the European Union and the United Kingdom. The results show that deep COVID-19 concerns increase climate change concerns, awareness, and perceived negative impacts of climate change. These effects are more robust among the lower educated Europeans. On the country level, strict governmental measures are also linked to deep climate change concerns. In contrast to the experience following the 2008 recession, the findings show that a secondary crisis can positively impact climate attitudes, which is a promising result for policy actions.