Nieman Lab: Full Fact uses its own AI tools to counter AI-generated election content

On June 25, 2026, Nieman Lab published a case study on how Full Fact, the UK’s largest fact-checking organization, deployed AI-powered monitoring tools during the Scottish parliamentary elections to detect and respond to AI-generated content shared by candidates.

The specific incident: an independent candidate standing in Glasgow shared AI-generated video clips of scenes described as representing their goals — “things I aspire to do rather than past events,” the candidate told Full Fact when contacted. The clips were labeled as illustrative but shared without disclosure of their AI origin. Full Fact’s monitoring system detected the content, verified it was AI-generated, and published a correction before the material spread further in the campaign.

Full Fact has been building automated fact-checking infrastructure since receiving $500,000 in dedicated funding earlier in the decade. The Scottish election case is one of the first publicly documented examples of an AI-detection pipeline operating in a live election context — catching AI-generated campaign imagery, not just AI-written text.

For journalists and editors covering elections: the piece is a documented example of proactive AI monitoring working in practice, not just in theory. It also illustrates the challenge — AI-generated imagery with a disclaimer (“illustrative”) occupies a gray area between deliberate deception and creative communication. Full Fact’s intervention required both technical detection and editorial judgment about how to characterize the content in a correction.

The broader question the article raises is whether AI-detection infrastructure will become a standard part of election journalism in the way that legal review and data verification already are.