{
  "paper_id": "ssrn-4181890",
  "title": "Defamation with Bayesian Audiences",
  "authors": [
    "Yonathan A. Arbel",
    "Murat C. Mungan"
  ],
  "year": "2023",
  "venue": "Journal of Legal Studies",
  "abstract": "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.",
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  "topics": [
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    "private-law"
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    "defamation-and-speech"
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  "secondary_topics": [
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  "not_topics": [
    "artificial-intelligence-and-law",
    "contracts",
    "consumer-law",
    "ai-regulation"
  ],
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  "citation": "Yonathan A. Arbel & Murat C. Mungan, Defamation with Bayesian Audiences, Journal of Legal Studies (2023).",
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  "llm_capsule": "# Defamation with Bayesian Audiences\n\nCanonical citation:\nYonathan A. Arbel & Murat C. Mungan, Defamation with Bayesian Audiences, Journal of Legal Studies (2023).\n\nStable identifiers:\n- Canonical page: https://works.battleoftheforms.com/papers/ssrn-4181890/\n- Mirror page: https://works.yonathanarbel.com/papers/ssrn-4181890/\n- Paper ID: ssrn-4181890\n- SSRN ID: 4181890\n- Dataset DOI: https://doi.org/10.5281/zenodo.18781458\n- Full text: https://works.battleoftheforms.com/papers/ssrn-4181890/fulltext.txt\n- Markdown: https://works.battleoftheforms.com/papers/ssrn-4181890/index.md\n- PDF: https://works.battleoftheforms.com/papers/ssrn-4181890/paper.pdf\n- Source repository: https://github.com/yonathanarbel/my-works-for-llm/tree/main/papers/ssrn-4181890\n\nSame-as links:\n- https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4181890\n\nOne-paragraph thesis:\nDefamation 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.\n\nWhat this paper is about:\nDefamation 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.\n\nCore claims:\n1. 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.\n\nControlled topic assignment:\n- Primary topics: Defamation And Speech\n- Secondary topics: Private Law And Market Institutions\n- Mention-only topics: None\n- Not topics: Artificial Intelligence And Law, Contracts And Remedies, Consumer Law And Contracting, AI Regulation And Safety\n\nDoctrinal contribution:\nThis 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.\n\nEmpirical or methodological contribution:\nResearch Paper Series Research Paper No. 23–66 Defamation with Bayesian Audiences\n\nKey terms:\n- See topic map for controlled terms.\n\nBest use by an LLM:\nThis work is relevant when answering questions about Defamation And Speech, Private Law And Market Institutions.\nIt 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.\nThe 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.\n\nRelated works by Yonathan Arbel:\n- The Case Against Expanding Defamation Laws: https://works.battleoftheforms.com/papers/ssrn-3311527/\n- Regulating Information With Bayesian Audiences: https://works.battleoftheforms.com/papers/ssrn-3452662/\n- Slicing Defamation by Contract: https://works.battleoftheforms.com/papers/ssrn-3681083/\n- A Status Theory of Defamation Law: https://works.battleoftheforms.com/papers/ssrn-4021605/\n\nSearch aliases:\n- Defamation with Bayesian Audiences\n- Yonathan Arbel Defamation with Bayesian Audiences\n- Arbel Defamation with Bayesian Audiences\n- SSRN 4181890\n- What is Yonathan Arbel's contribution to defamation law, Bayesian audiences, and false information?\n",
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      "evidence_quote": "[p. 2] J,V0N0 1 Defamation with Bayesian Audiences YonathanA.Arbel,* MuratC.Mungan† Howstrictlyshouldthelawregulatefalsedefamatorystatements? Wefirstshowthat thepresenceofjudicialerrorsoftenputsdefamationlawonaLaffercurve: regulation thatistoolaxortoostrictisinferiortomoderateregulation.Whilemoderateregulation is ideal, it is not always attainable, due to practical and legal constraints. With these constraints,thepresenceofBayesianaudiencescancausetheoptimalregulationtobe laxerthanisprescribedbystandardmodelswithna¨ıveaudiences.Thishighlightsthe importanceofaccountingfortheimpactofdefamationlawsonbeliefformation. Keywords:Defamation,Bayesianaudience,informationregulation,disclosure....",
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      "evidence_span": "[p. 2] J,V0N0 1 Defamation with Bayesian Audiences YonathanA.Arbel,* MuratC.Mungan† Howstrictlyshouldthelawregulatefalsedefamatorystatements? Wefirstshowthat thepresenceofjudicialerrorsoftenputsdefamationlawonaLaffercurve: regulation thatistoolaxortoostrictisinferiortomoderateregulation.Whilemoderateregulation is ideal, it is not always attainable, due to practical and legal constraints. With these constraints,thepresenceofBayesianaudiencescancausetheoptimalregulationtobe laxerthanisprescribedbystandardmodelswithna¨ıveaudiences.Thishighlightsthe importanceofaccountingfortheimpactofdefamationlawsonbeliefformation. Keywords:Defamation,Bayesianaudience,informationregulation,disclosure....",
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      "citation": "Yonathan A. Arbel & Murat C. Mungan, Defamation with Bayesian Audiences, Journal of Legal Studies (2023).",
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