Indicator, an online publication focusing on studying and exposing digital deception and manipulation, has published an updated analysis of how Generative AI tools output are shown on social media platforms.

The study, an update to a previous study conducted in October, shows some good news: for example, all image and video content created by OpenAI models was correctly labeled as AI-generated by LinkedIn, Pinterest, and YouTube.

However, some significant gaps remain.

Indicator's March 2026 study shows significant gaps in Generative AI disclosure on many social media platforms.
Indicator’s March 2026 study shows significant gaps in Generative AI disclosure on many social media platforms.

For example, some images from Meta AI were recognised as AI-generated by Instagram, but they were not recognised by LinkedIn, TikTok, Pinterest or YouTube. Meta AI uses IPTC’s Digital Source Type property in the media file’s XMP header (the typical way to use IPTC Photo Metadata) to signal AI-generated content, so this means that the IPTC DigitalSourceType property is not being examined by these platforms.

OpenAI and Google Gemini both use C2PA metadata to assert digital source type (also using IPTC’s Digital Source Type vocabulary, but this time embedded in a C2PA manifest). However Pinterest, for example, only picked up OpenAI’s version of the C2PA metadata, but not Google’s. Pinterest did surface Meta AI’s content via the IPTC Digital Source Type tag, and was equal-best overall, tying with LinkedIn who recognised all content from Google and OpenAI but not from Meta.

IPTC Managing Director Brendan Quinn was quoted in the article as saying “Tech platforms have the talent to implement C2PA tomorrow; they simply need the will to prioritize it.”

Why not both?

On the creation side, OpenAI and Google Gemini declare AI-generated content using IPTC’s Digital Source Type vocabulary embedded in a C2PA manifest. (Unfortunately they each use different versions of the C2PA spec, so results are not consistent across all social media platforms, even those that read C2PA metadata.)

Meta AI uses the same vocabulary, embedded in the Digital Source type property in “regular” IPTC embedded photo metadata.

We would recommend that all AI engines uses both techniques, to give their AI disclosure information the greatest chance of being surfaced by all platforms.

On the consumption side, it seems that Instagram examines the IPTC DigitalSourceType property but not C2PA. Conversely, LinkedIn examines C2PA but not IPTC. Pinterest seems to be the only platform that looks at both, but it’s implementation doesn’t analyse the more complex C2PA metadata assertions used by Google, meaning that it only surfaces OpenAI’s simpler implementation.

“Whether they want to or not,” platforms are “just going to have to deal with this”

The article noted that looming legislation from California and other jurisdictions would force platforms to implement AI surfacing properly, but in the meantime there is a risk: Maurice Jakesch, assistant professor of computational social science at Bauhaus-University in Weimar, is reported as saying that “an inconsistent and incomplete labeling setup may have unexpected consequences on online trust.”

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