Toygar Kerman (Corvinus University) will be presenting his paper “Persuading Communicating Voters“ (co-authored with Anastas P. Tenev)) on November 29th at 10 AM, room QA 3rd floor conference roomn. One-to-one meetings with the speaker can be arranged; please contact the seminar organizers, Dr. Noémie Cabau (firstname.lastname@example.org) and Dr. Arseniy Samsonov (email@example.com).
Abstract: We study a multiple-receiver Bayesian persuasion model in which the sender wants to implement a proposal and commits to a signal which sends correlated messages to multiple receivers who have homogeneous beliefs. Receivers are connected in a network and can perfectly observe their direct neighbors’ messages. After updating their beliefs, receivers vote for or against the proposal. The setup with limited information spillovers creates a significant complication in designing optimal signals. We simplify the sender’s problem by providing partial characterizations for optimal communication and consider applications which are characterized by distinct patterns of voter interaction. We show that the sender can achieve the upper bound of the value (i.e. the case with no spillovers) in most of the applications. Surprisingly, more communication among the receivers can even be strictly better for the sender and hence strictly worse for the voters.