Optimal information censorship Articles uri icon

publication date

  • July 2019

start page

  • 377

end page

  • 385


  • 163

International Standard Serial Number (ISSN)

  • 0167-2681

Electronic International Standard Serial Number (EISSN)

  • 1879-1751


  • This paper analyses Bayesian persuasion of a privately informed receiver in a linear framework. The sender is restricted to censorship, that is, to strategies in which each state is either perfectly revealed or hidden. I develop a new approach to finding optimal censorship strategies based on direct optimisation. I also show how this approach can be used to restrict the set of optimal censorship schemes, and to analyse optimal censorship under certain classes of distributions of the receiver's type.


  • Economics


  • bayesian persuasion; censorship