Receiving and Accepting Public Information Despite Polarization: Key to Overcoming COVID-19 (RAPID-COVID)

  • Funded by Bundesministerium für Bildung und Forschung [German Federal Ministry of Education and Research] (BMBF)
  • Total publications:0 publications

Grant number: 01KI20539

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Key facts

  • Disease

  • Start & end year

  • Known Financial Commitments (USD)

  • Funder

    Bundesministerium für Bildung und Forschung [German Federal Ministry of Education and Research] (BMBF)
  • Principle Investigator

  • Research Location

    Germany, Europe
  • Lead Research Institution

    Freie Universität Berlin
  • Research Category

    Policies for public health, disease control & community resilience

  • Research Subcategory

    Approaches to public health interventions

  • Special Interest Tags


  • Study Subject


  • Clinical Trial Details


  • Broad Policy Alignment


  • Age Group


  • Vulnerable Population


  • Occupations of Interest



RAPID-COVID is designed to produce insights about the information level about COVID-19 and the willingness to accept authoritative decisions to cope with the pandemic. The project is located at the intersection of political communication, political psychology, and political culture studies. We link research on media usage, campaign effects, populism and protest studies, to enhance our understanding how the information landscape interacts with individual predispositions to structure response patterns to the pandemic. Our aim is to provide insights into the processes at work - insights that can be rapidly used against the spread of the virus. We focus on six research questions: 1. Do citizens receive necessary and correct COVID-19 related information? Do they feel subjectively well informed and taken care of? 2. Do (problematic) differences in information levels exist between different segments of society? What are potential remedies to cure them? 3. How do citizens process information they receive? Which features of senders, messages, recipients, and contexts matter? 4. How widespread are feelings of discontent concerning measures to limit the spread of the virus? Does discontent grow over time? 5. What are the reasons for discontent? 6. Under which circumstances does discontent lead to non-compliance? To understand the distribution as well as the (causal) dynamics of COVID19-related information with respect to citizens, we propose to implement a three-wave longitudinal panel survey that is further enriched by survey experiments and paralleling cross sections.