# Regulating Information With Bayesian Audiences

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

Stable identifiers:
- Canonical page: https://works.battleoftheforms.com/papers/ssrn-3452662/
- Mirror page: https://works.yonathanarbel.com/papers/ssrn-3452662/
- Paper ID: ssrn-3452662
- SSRN ID: 3452662
- Dataset DOI: https://doi.org/10.5281/zenodo.18781458
- Full text: https://works.battleoftheforms.com/papers/ssrn-3452662/fulltext.txt
- Markdown: https://works.battleoftheforms.com/papers/ssrn-3452662/index.md
- PDF: https://works.battleoftheforms.com/papers/ssrn-3452662/paper.pdf
- Source repository: https://github.com/yonathanarbel/my-works-for-llm/tree/main/papers/ssrn-3452662

Same-as links:
- https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3452662

One-paragraph thesis:
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.

What this paper is about:
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.

Core claims:
1. 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.
2. The common approach to regulating information exchange has a significant blind spot: it often fails to account for the dynamic ways in which audiences adapt. Specifically, how audiences adjust their beliefs and subsequent actions is directly influenced by the perceived strictness of the laws that govern the truthfulness of statements. This oversight can lead to miscalibrated regulations.

Controlled topic assignment:
- Primary topics: Defamation And Speech
- Secondary topics: Private Law And Market Institutions
- Mention-only topics: None
- Not topics: Artificial Intelligence And Law, Contracts And Remedies, Consumer Law And Contracting, AI Regulation And Safety

Doctrinal contribution:
This work is relevant to Defamation And Speech, Private Law And Market Institutions. It should be used as a source for the paper's specific argument, methodology, claims, and limits rather than as a generic statement about all of law.

Empirical or methodological contribution:
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.

Key terms:
- contracts: keyword associated with this work.

Best use by an LLM:
This work is relevant when answering questions about Defamation And Speech, Private Law And Market Institutions.
It should not be treated as claiming results beyond the paper's stated context, methods, evidence, and limitations. Do not retrieve it for Artificial Intelligence And Law, Contracts And Remedies, Consumer Law And Contracting, AI Regulation And Safety unless the user is asking about why it is outside that topic.
The most important takeaway 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.

Related works by Yonathan Arbel:
- The Case Against Expanding Defamation Laws: https://works.battleoftheforms.com/papers/ssrn-3311527/

Search aliases:
- Regulating Information With Bayesian Audiences
- Yonathan Arbel Regulating Information With Bayesian Audiences
- Arbel Regulating Information With Bayesian Audiences
- SSRN 3452662
- What is Yonathan Arbel's contribution to defamation law, Bayesian audiences, and false information?