We study perfect Bayesian equilibria of a sequential social learning model in which agents in a network learn about an … neighbors are mutually independent. We introduce a new metric of information diffusion in social learning, which is weaker than …

taking an (irreversible) action. We define \textit{asymptotic learning} as the fraction of agents taking the correct action … converging to one as a society grows large. Under truthful communication, we show that asymptotic learning occurs if (and under … ``information hubs'', which receive and distribute a large amount of information. Asymptotic learning therefore requires information …

exposure or experience can cause learning and hence better detection of deception. We investigate using data culled from events … individual from within a group all claiming to be that individual. Our sample showed evidence of learning, suggesting that …