When emotionally charged news floods social media, can a simple "AI-generated" label prevent users from sharing it? This study investigated how AI disclosure labels interact with narrative transportation to shape credibility perceptions and sharing intentions across three experiments (N1 = 218, N2 = 138, N3 = 145). Study 1 established the baseline psychological mechanism: narrative transportation significantly predicted both emotional responses and sharing intentions, yet a standard AI authorship label produced no meaningful effect on any outcome - Bayesian analyses confirmed substantial evidence for the null hypothesis. Study 2 introduced message credibility as a cognitive mediator, revealing a cognition-behavior dissociation: the AI label reduced perceived credibility, yet this cognitive signal was too weak to overcome emotional inertia and suppress sharing. Study 3 escalated the intervention to explicit warning labels, demonstrating that hard warnings significantly reduced message credibility and sharing intention, with credibility serving as a full mediator. Together, these findings suggest that intense emotional immersion induces heuristic processing that renders neutral disclosures effectively invisible, while forceful warnings successfully trigger systematic re-evaluation. The results carry direct implications for platform governance: in emotionally arousing contexts, neutrally worded AI labels are not merely ineffective - they may create a false sense of regulatory adequacy. Only high-intensity warnings can disrupt the automatic impulse to share AI-generated emotionally manipulative content.

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