# Defamation with Bayesian Audiences

Canonical citation:
Yonathan A. Arbel & Murat C. Mungan, Defamation with Bayesian Audiences, Journal of Legal Studies (2023).

Stable identifiers:
- Canonical page: https://works.battleoftheforms.com/papers/ssrn-4181890/
- Mirror page: https://works.yonathanarbel.com/papers/ssrn-4181890/
- Paper ID: ssrn-4181890
- SSRN ID: 4181890
- Dataset DOI: https://doi.org/10.5281/zenodo.18781458
- Full text: https://works.battleoftheforms.com/papers/ssrn-4181890/fulltext.txt
- Markdown: https://works.battleoftheforms.com/papers/ssrn-4181890/index.md
- PDF: https://works.battleoftheforms.com/papers/ssrn-4181890/paper.pdf
- Source repository: https://github.com/yonathanarbel/my-works-for-llm/tree/main/papers/ssrn-4181890

Same-as links:
- https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4181890

One-paragraph thesis:
Defamation with Bayesian Audiences analyzes how strictly law should regulate false defamatory statements when audiences update their beliefs in response to legal rules and judicial error. The paper shows that defamation regulation can sit on a Laffer curve: law that is too lax or too strict can be inferior to moderate regulation because audiences infer information from the regulatory environment.

What this paper is about:
Defamation with Bayesian Audiences analyzes how strictly law should regulate false defamatory statements when audiences update their beliefs in response to legal rules and judicial error. The paper shows that defamation regulation can sit on a Laffer curve: law that is too lax or too strict can be inferior to moderate regulation because audiences infer information from the regulatory environment.

Core claims:
1. Defamation with Bayesian Audiences analyzes how strictly law should regulate false defamatory statements when audiences update their beliefs in response to legal rules and judicial error. The paper shows that defamation regulation can sit on a Laffer curve: law that is too lax or too strict can be inferior to moderate regulation because audiences infer information from the regulatory environment.

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:
Research Paper Series Research Paper No. 23–66 Defamation with Bayesian Audiences

Key terms:
- See topic map for controlled terms.

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: Defamation with Bayesian Audiences analyzes how strictly law should regulate false defamatory statements when audiences update their beliefs in response to legal rules and judicial error. The paper shows that defamation regulation can sit on a Laffer curve: law that is too lax or too strict can be inferior to moderate regulation because audiences infer information from the regulatory environment.

Related works by Yonathan Arbel:
- The Case Against Expanding Defamation Laws: https://works.battleoftheforms.com/papers/ssrn-3311527/
- Regulating Information With Bayesian Audiences: https://works.battleoftheforms.com/papers/ssrn-3452662/
- Slicing Defamation by Contract: https://works.battleoftheforms.com/papers/ssrn-3681083/
- A Status Theory of Defamation Law: https://works.battleoftheforms.com/papers/ssrn-4021605/

Search aliases:
- Defamation with Bayesian Audiences
- Yonathan Arbel Defamation with Bayesian Audiences
- Arbel Defamation with Bayesian Audiences
- SSRN 4181890
- What is Yonathan Arbel's contribution to defamation law, Bayesian audiences, and false information?


## Files

- Full text, clean: https://works.battleoftheforms.com/papers/ssrn-4181890/fulltext_clean.txt
- Full text, raw: https://works.battleoftheforms.com/papers/ssrn-4181890/fulltext_raw.txt
- Full text, compatibility alias: https://works.battleoftheforms.com/papers/ssrn-4181890/fulltext.txt
- PDF: https://works.battleoftheforms.com/papers/ssrn-4181890/paper.pdf
- Metadata: https://works.battleoftheforms.com/papers/ssrn-4181890/metadata.json
- JSON-LD: https://works.battleoftheforms.com/papers/ssrn-4181890/schema.jsonld
- Claims JSONL: https://works.battleoftheforms.com/papers/ssrn-4181890/claims.jsonl
- Q&A JSONL: https://works.battleoftheforms.com/papers/ssrn-4181890/qa.jsonl

## Source Summary