Anmerkungen:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments Febrary 27, 2020 erstellt
Beschreibung:
This paper studies the spread of misinformation when agents have both individual and social learning. I characterize the steady state opinion vector and I show that agents with poor individual learning and high centrality are the best channels of misinformation. I study the conditions under which a (monopolistic) sophisticated spreader has incentives to declare falsehoods and extreme opinions, and I find an inverted U-shaped relationship between her centrality and the optimal declaration. Finally, in this framework, the con- sensus time increases with respect to the network’s segregation, whereas the learning time decreases with respect to agents’ reliance on their individual learning