In this paper, we study a model of online news dissemination on a Twitter-like social network. Given a noisy observation of the state of the world henceforth called the news, agents with heterogeneous priors decide whether to share with their followers based on whether receiving the news can...

We examine how word-of-mouth learning may lead to uniform and possibly inefficient actions in finite time among a network of agents. In our model, agents are identically informed a priori and observe network neighbors’ actions as well as the payoffs of some or all of those actions (a...

Social media have become an increasingly important source of information about political, social and economic issues. While beneficial on many levels, the decentralized nature of these media may expose societies to novel risks of manipulation by third parties. To evaluate these risks, we study a...

We develop a model of information exchange through communication and investigate its implications for information aggregation in large societies. An \textit{underlying state} determines payoffs from different actions. Agents decide which others to form a costly \textit{communication link} with,...

We develop a dynamic framework of strategic information transmission through cheap talk in a social network. Privately informed agents have different preferences about the action to be implemented by each agent and repeatedly communicate with their neighbors in the network. We first characterize...