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
COVID-19Start & end year
20202021Known Financial Commitments (USD)
$314,840.74Funder
Bundesministerium für Bildung und Forschung [German Federal Ministry of Education and Research] (BMBF)Principal Investigator
PendingResearch Location
GermanyLead Research Institution
Freie Universität BerlinResearch Priority Alignment
N/A
Research Category
Policies for public health, disease control & community resilience
Research Subcategory
Approaches to public health interventions
Special Interest Tags
N/A
Study Subject
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
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.