COVID-19, Digital Media, and Health| Beliefs in Times of Corona: Investigating the Relationship Between Media Use and COVID-19 Conspiracy Beliefs Over Time in a Representative Dutch Sample

Authors

  • Marloes van Wezel Tilburg University
  • Emiel Krahmer Tilburg University
  • Ruben Vromans Tilburg University
  • Nadine Bol Tilburg University

Keywords:

media use, digital media, conspiracy beliefs, misinformation, COVID-19, random intercept cross-lagged panel models

Abstract

We investigated the relationship between different media sources (traditional media, online news media, online health sources, social media) and COVID-19 related conspiracy beliefs, and how these change over time, using four-wave panel data from a representative sample of the Dutch population (N = 1,166). Across waves, 0.1%–3.4% of our sample were certain the selected conspiracy theories were true, though this belief was unstable over time. Random intercept cross-lagged panel models revealed that individuals’ temporary level of conspiracy beliefs did not significantly depend on their temporary level of media use at a previous occasion, or vice versa. However, significant correlations at the group level indicated that more frequent use of health-related and social media sources were associated with higher levels of conspiracy beliefs. These results suggest that relationships between media use and conspiracy beliefs are nuanced. Underlying processes should be investigated to develop tailored communication strategies to combat the ongoing infodemic.

Author Biographies

Marloes van Wezel, Tilburg University

Marloes van Wezel is an early career researcher in Online Communication. In general she investigates how human behavior in the online, digital world influences their offline world, with special attention for online risk behavior of adolescents and young adults.  

Emiel Krahmer, Tilburg University

Emiel Krahmer is Professor of Language, Cognition, and Computation. His research is aimed at getting a better understanding of how humans exchange information during communication (both verbally and non-verbally), which in turn may help for improving the way computers present information and communicate with humans.

Ruben Vromans, Tilburg University

Ruben Vromans is an early career researcher in Health and Risk Communication. His research focuses on improving and understanding personalized explanations of treatment outcomes for cancer and trauma patients.

Nadine Bol, Tilburg University

Dr. Nadine Bol is assistant professor of health communication in the department of Communication and Cognition at Tilburg University. Her research expertise lies at the intersection of digital technologies, health communication, and vulnerability, centering on how digital health technologies impact vulnerable populations and create (new) digital inequalities.

Downloads

Published

2023-01-10

Issue

Section

Special Sections