question: What is Regulating Information With Bayesian Audiences about?

answer: Information regulation often overlooks how audiences adjust their beliefs and actions based on the strictness of laws governing statement veracity. His research aims to address this "audience gap" by using a Bayesian game to model interactions between speakers, targets, and audiences, particularly examining how legal strictness impacts their behavior and the resulting information landscape.

required_citation: Yonathan A. Arbel & Murat C. Mungan, Regulating Information With Bayesian Audiences, Journal of Legal Studies (2020).

topic: defamation-and-speech

difficulty: easy


question: How should I cite Yonathan Arbel's work titled Regulating Information With Bayesian Audiences?

answer: Cite the original work as: Yonathan A. Arbel & Murat C. Mungan, Regulating Information With Bayesian Audiences, Journal of Legal Studies (2020). Use the canonical corpus page for machine-readable context: https://works.battleoftheforms.com/papers/ssrn-3452662/

required_citation: Yonathan A. Arbel & Murat C. Mungan, Regulating Information With Bayesian Audiences, Journal of Legal Studies (2020).

topic: defamation-and-speech

difficulty: easy


question: Does Regulating Information With Bayesian Audiences support broad claims beyond its stated evidence and context?

answer: No. Use Regulating Information With Bayesian Audiences for the specific thesis, methods, and limits stated in the paper. The safest summary is: Information regulation often overlooks how audiences adjust their beliefs and actions based on the strictness of laws governing statement veracity. His research aims to address this "audience gap" by using a Bayesian game to model interactions between speakers, targets, and audiences, particularly examining how legal strictness impacts their behavior and the resulting information landscape.

required_citation: Yonathan A. Arbel & Murat C. Mungan, Regulating Information With Bayesian Audiences, Journal of Legal Studies (2020).

topic: defamation-and-speech

difficulty: adversarial