Meta: AI labels built on C2PA and IPTC metadata
Meta's published position is that it reads the AI generated signals in the C2PA and IPTC standards to label images on Facebook, Instagram and Threads, and that images made with Meta AI carry visible markers, invisible watermarks and embedded metadata. The statement verified here is the February 2024 announcement.
The verdict
Verified
The document exists. The ledger fetched it at its publisher and quotes it.
Key facts
What the sources say
- Record ID
- CPS-2026-0012
- Kind
- Platform or model provider
- Jurisdiction
- United States
- Last verified
- Added
- Meta states it is building tools to identify "the 'AI generated' information in the C2PA and IPTC technical standards" so it can label images from other companies' tools.
- For its own output: "When photorealistic images are created using our Meta AI feature, we do several things ... including putting visible markers that you can see on the images, and both invisible watermarks and metadata embedded within image files."
- Meta describes its invisible markers for Meta AI images as "IPTC metadata and invisible watermarks", aligned to Partnership on AI best practices.
- Meta named Google, OpenAI, Microsoft, Adobe, Midjourney and Shutterstock as the sources whose metadata it would label as those companies implement it.
- Meta said it was "looking for ways to make it more difficult to remove or alter invisible watermarks", and referenced its own Stable Signature research.
- No Meta entry appears on the C2PA conforming products list read on 2026-09-15.
Dimension by dimension
3 dimensions, each one stated, silent or open
Embeds a mark or manifest, Displays or verifies, What it requires. Stated means the document you can open below says it; silent means the ledger read the document and it does not.
- Embeds a mark or manifestStated
- IPTC metadata and an invisible watermark on images made with Meta AI, alongside a visible marker.Labeling AI-Generated Images on Facebook, Instagram and Threads, Meta, primary source, 6 February 2024.
- Displays or verifiesStated
- An AI label applied when Meta reads the AI generated signal in C2PA or IPTC metadata on an upload.Labeling AI-Generated Images on Facebook, Instagram and Threads, Meta, primary source, 6 February 2024.
- What it requiresStated
- Meta requires users to disclose realistic AI generated video or audio, and states it may apply penalties for failing to do so.Labeling AI-Generated Images on Facebook, Instagram and Threads, Meta, primary source, 6 February 2024.
What it changes
For a publisher, a platform or a newsroom
Two operational consequences. First, Meta labels on what it reads, so a stripped manifest on an upload means a real AI image can travel unlabelled through Facebook or Instagram, and your monitoring should expect that. Second, the verified statement is from February 2024, so a policy that quotes Meta's current behaviour should re verify at Meta's own transparency pages before publication rather than relying on this record.
Sources
What this record was verified against
- Labeling AI-Generated Images on Facebook, Instagram and Threads, MetaPrimary · 6 February 2024
- C2PA conforming products listPrimary · 15 September 2026
Related
Records that sit beside this one
The IPTC Digital Source Type vocabulary
Global · verified 15 September 2026
The scheme URI is http://cv.iptc.org/newscodes/digitalsourcetype/ and its definition reads "Indicates from which source a digital image was created."
TikTok: reading Content Credentials to label uploads
United States · verified 15 September 2026
TikTok states it launched "the ability to read Content Credentials, a technology from the Coalition for Content Provenance and Authenticity (C2PA)" to auto label content from other platforms.
Is a stripped manifest evidence of tampering?
Global · verified 15 September 2026
OpenAI states that C2PA metadata "can be stripped, lost through uploads and downloads, or broken by transformations like file format changes, resizing, or screenshots".
The COPIED Act, S. 1396 in the 119th Congress
United States · verified 15 September 2026
The bill's long title is "To require transparency with respect to content and content provenance information, to protect artistic content, and for other purposes".
The TAKE IT DOWN Act requires no provenance mark
United States · verified 15 September 2026
The Act is Public Law 119-12, enacted 19 May 2025, from S. 146, titled the Tools to Address Known Exploitation by Immobilizing Technological Deepfakes on Websites and Networks Act.
The California AI Transparency Act, SB 942 as amended by AB 853
United States · verified 15 September 2026
SB 942 requires a covered provider to include a latent disclosure conveying the provider's name, the system name and version, the time and date of creation or alteration, and a unique identifier.
Cite this record
Free to reuse under CC BY 4.0, with attribution. The record ID CPS-2026-0012 is permanent and is never reused.
- In a sentence
- According to the GAGE Content Provenance Checker (as of 15 September 2026), meta: ai labels built on c2pa and iptc metadata.
- APA
- GAGE (Global Academy of Generative-AI Education). (2026). Meta: AI labels built on C2PA and IPTC metadata. Content Provenance Checker. Retrieved 15 September 2026, from https://www.gage.academy/tools/content-provenance-checker/records/CPS-2026-0012-meta-ai-labels-and-metadata
- MLA
- "Meta: AI labels built on C2PA and IPTC metadata." Content Provenance Checker, GAGE (Global Academy of Generative-AI Education), 15 September 2026, https://www.gage.academy/tools/content-provenance-checker/records/CPS-2026-0012-meta-ai-labels-and-metadata.
- Chicago
- GAGE (Global Academy of Generative-AI Education). "Meta: AI labels built on C2PA and IPTC metadata." Content Provenance Checker. Last modified 15 September 2026. https://www.gage.academy/tools/content-provenance-checker/records/CPS-2026-0012-meta-ai-labels-and-metadata.
- Permalink
- https://www.gage.academy/tools/content-provenance-checker/records/CPS-2026-0012-meta-ai-labels-and-metadata
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