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Interventions for combating COVID-19 misinformation: A systematic realist review
Robert Dickinson1, Dominique Makowski2, Harm van Marwijk1
1Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom.
Game-type interventions show promise for combating COVID-19 misinformation, but no single method is sufficient. Policymakers should create tailored intervention packages for specific contexts and groups to address public health concerns effectively.
Area of Science:
- Public Health
- Information Science
- Behavioral Science
Background:
- Misinformation, particularly concerning public health and COVID-19, has led to significant negative outcomes.
- There is an urgent need for effective interventions to combat the spread of health misinformation.
Purpose of the Study:
- To conduct a realist systematic review of proposed interventions against COVID-19 misinformation.
- To assess the characteristics, effectiveness, durability, and contextual factors of these interventions.
Main Methods:
- Searched multiple databases for studies on interventions published from 2020 onwards.
- Included 35 studies representing eight intervention types, assessing their quality and coding themes.
- Focused on realist review methodology to understand intervention functioning in context.
Main Results:
- Game-type interventions demonstrated advantages in scalability and impact compared to other types.
- Interventions showed varied effects on subgroups and potential for backfire effects.
- High heterogeneity in outcome measures and methods complicated direct comparisons between studies.
Conclusions:
- No single intervention is sufficient; packages of interventions tailored to specific contexts and target groups are recommended.
- Future research should standardize outcome measures and methods and connect theoretical and intervention literatures.
- Further investigation into the role of political polarization in misinformation is needed.
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