Documented electoral disinformation 2026

Disinformation is, by nature, hard to measure: its whole aim is not to be detected. That is why this tracker does not attempt to quantify 'all the disinformation' of an election —an impossible claim— but to record the campaigns and patterns that organizations with open methodology have managed to document: media observatories, digital forensic labs, electoral observation missions and fact-checkers. What is recorded is the tip of the iceberg that has been measured rigorously.

The 2026 map of techniques confirms a shift. Alongside the classic coordinated networks, deepfakes and AI-generated content now appear, plus a persistent migration toward private messaging —WhatsApp, Telegram— where moderation is almost impossible. In Hungary, the Digital Media Observatory warned of deepfake risk; in Colombia and Brazil, the weight falls on encrypted channels; in the United States, on generative AI applied to campaign optimization.

Why it matters to those who watch

For a platform's integrity team, a fact-checker, a regulator or a researcher, this tracker's value lies in making techniques comparable across borders. When the same pattern —reclassifying ads as non-political, migrating to Telegram, generating AI avatars— appears in Hungary, Colombia and the United States in the same year, it stops being a national anecdote and becomes a global trend that can be anticipated.

That is the point of treating disinformation as data infrastructure rather than a succession of hoaxes: it lets you see the method behind the noise. And the method, unlike the specific content of each hoax, travels between elections and repeats. Documenting it with source and technique, election after election, builds the memory that platforms and regulators do not always keep.