Interventions against misinformation span three levels: individual-level approaches targeting users' competences and behaviors (e.g., debunking, media literacy, inoculation); platform-level designs (e.g., algorithmic changes, friction, labels, content moderation); and system-level policies (regulatory frameworks, investment in public media, fact-checking infrastructure). Individual-level interventions are the primary focus of behavioral and cognitive research and fall into three categories: nudges (targeting behavior), boosts (targeting competence), and refutation strategies (targeting beliefs).
Key papers
- 2024-kozyreva-toolbox-interventions — Comprehensive review of 81 papers on nine types of individual-level interventions: accuracy prompts, debunking, friction, inoculation, lateral reading, media-literacy tips, social norms, source-credibility labels, and warning/fact-checking labels
- 2020-lewandowsky-debunking-handbook — Evidence-based guide to debunking misinformation, covering psychological mechanisms and effective correction strategies
- 2020-pennycook-covid19-accuracy-nudge — Field evidence that accuracy nudges (reminders of the importance of accuracy) reduce sharing of false COVID-19 headlines
- 2021-pennycook-shifting-attention-accuracy — Twitter field experiment showing accuracy prompts increase sharing of accurate news across diverse demographics
- 2022-roozenbeek-inoculation-social-media — Psychological inoculation videos shown as YouTube ads successfully increased manipulation-technique recognition in field study
- 2021-basol-gamified-inoculation — Gamified inoculation increases confidence and cognitive immunity against fake news
Related topics
- behavioral-interventions — Broader category including nudges, boosts, and other behavior-change approaches
- media-literacy — Educational interventions to improve critical evaluation of information
- debunking — Reactive corrections of false beliefs
- inoculation — Pre-emptive intervention against manipulation techniques
- fact-checking — Verification and labeling of claims for accuracy
- detection-methods — Computational and human methods to identify false content
- platform-moderation — Content moderation and platform design approaches