As strong as the weakest node: the impact of misinformation in social networks

DOI10.1016/j.jet.2023.105773OpenAlexW4389671436MaRDI QIDQ6139987

Manuel Mueller-Frank

Publication date: 19 January 2024

Published in: Journal of Economic Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jet.2023.105773

zbMATH Keywords

social learningsocial networksdisinformationmisinformationdegroot updatingquasi-Bayesian updating

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Social learning (91D15)

Cites Work

• Unnamed Item
• Non-Bayesian social learning
• Spread of (mis)information in social networks
• Information diffusion in networks with the Bayesian peer influence heuristic
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• Persuasion Bias, Social Influence, and Unidimensional Opinions
• A Theory of Non-Bayesian Social Learning
• Reaching a Consensus
• How Homophily Affects the Speed of Learning and Best-Response Dynamics
• Network structure and naive sequential learning
• Misinterpreting Others and the Fragility of Social Learning
• A general analysis of boundedly rational learning in social networks

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