We study social learning and information transmission in a sender-receiver game wherein senders may be attacked (``cancelled'') for challenging the status-quo beliefs. We find that cancellations (and self-censorship) don't arise unless there is a positive probability the receiver gains a direct...

We study the optimal disclosure policy of a firm that wishes to maximize its expected stock price in the classic setting in which its stock is traded by risk-averse investors and noise traders. We find that the optimal disclosure policy is imprecise and leads to skewed posterior beliefs. This...