# Study pack: J,V0N0 1 (ssrn-3452662)

- SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3452662
- Full text: `papers/ssrn-3452662/paper.txt`
- Summary (EN): `papers/ssrn-3452662/summary.md`
- Summary (ZH): `papers/ssrn-3452662/summary.zh.md`

## Elevator pitch

Professor Yonathan Arbel of the University of Alabama School of Law argues that 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.

## Keywords / concepts

contracts; AI; law

## Suggested questions (for RAG / study)

- What is the paper’s main claim and what problem does it solve?
- What method/data does it use (if any), and what are the main results?
- What assumptions are doing the most work?
- What are the limitations or failure modes the author flags?
- How does this connect to the author’s other papers in this corpus?

_Auto-generated study aid. For canonical content, rely on `paper.txt`/`paper.pdf`._