Definition — A platform-native marker telling viewers a post is AI-generated or significantly AI-edited. Major platforms combine self-declaration at upload with automatic labeling based on provenance metadata.
Platform AI labels work through two channels. Self-declaration: an 'AI-generated' toggle in the upload flow that renders a viewer-facing tag on the post. Automatic detection: platforms read provenance signals — Content Credentials manifests, invisible watermarks, metadata — and apply labels on their own, whether or not the uploader declared anything.
The rule of thumb for AI persona accounts is to self-label realistic content by default. Undeclared synthetic media that a platform later detects or gets reported is the bad path: policies provide for reduced distribution, forced labels or removal, and repeated incidents damage account standing. Self-labeling costs one toggle; being caught not labeling costs trust and reach.
Labels are the per-post layer of a three-layer disclosure stack — account-level bio statement, per-post platform label, machine-readable provenance — and the layers back each other up when one fails (metadata gets stripped, bios go unread). The platform label guide tracks how the major platforms implement labeling.
Marking published content as AI-generated, via visible statements (e.g. in an account bio) and platform-native AI-content labels. Increasingly required by regulation (EU AI Act) and platform policy for photorealistic synthetic people.
An open provenance standard from the C2PA coalition that attaches cryptographically signed metadata to media, recording how it was created and edited — including whether AI was involved.
In the United States, FTC truth-in-advertising rules and the Endorsement Guides apply to influencer marketing whether the influencer is human or synthetic: material connections must be disclosed, and AI personas must not pose as real customers.
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