Many facts are learned through the intermediation of individuals with special access to information, such as law enforcement officers, employees with a security clearance, or experts with specific knowledge. This paper considers whether societies can learn about such facts when information is...

We study perfect Bayesian equilibria of a sequential social learning model in which agents in a network learn about an underlying state by observing neighbors' choices. In contrast with prior work, we do not assume that the agents' sets of neighbors are mutually independent. We introduce a new...