Search claims, chatbots, domains⌘K
465 answers stated a false claim as fact

Do AI chatbots spread Russian disinformation about Ukraine?

Russia's 2026 budget sets aside $1.8B for state media. We test whether those claims surface in ChatGPT, Gemini, Grok and other AI assistants, then publish the evidence.

$1.8B covers state television, news agencies and online projects in Russia's 2026 federal budget (The Moscow Times). External figure, not a Citere measurement.

Updated · Open data, CC BY 4.0 · How we measure

How often each assistant stated a false claim as fact · pooled across all four ways of asking · 48 published claims

465
answers stated a false claim as fact
out of 18697 checked · across 48 claims
18697
answers recorded and checked
6 assistants · 4 ways of asking
554
watchlisted domains
cited while answering about a published claim
47
countermeasures taken
on the published claims

Where we test

All countries →

We test AI assistants in 14 countries, each in the language people there actually use. That shows whether the same false claim gets a different answer in a different language. The 13 countries with a completed run are shown here; the rest are queued and appear on the countries page. Differences between countries are often small — open a country page for the detail. Austria and Germany share a language but count separately.

What we found

All 48 claims →

The claims we documented most recently. Each card carries our verdict, what is actually true underneath, and how many assistants stated it as fact anyway. Open one for the answers themselves: the question asked, the market, and what the assistant cited.

How AI assistants respond to false claims

All rankings →

Worst case so far: one assistant stated a false claim as fact in 7.7% of its answers (Google AI Overviews) — pooled across all four ways of asking.

The same claims read three ways: the share by country, then each assistant and each kind of lie. Every figure is the share of answers that stated a false claim as fact, pooled across all four ways of asking — one headline number, not the per-question rate the data pages report. These are shares from our own tests, not a measure of an assistant's overall accuracy.

Where the claims spread most pooled across all question types

Share of answers that stated a false claim as fact. The same claims everywhere, asked in each country’s own language.

1 Türkiye 4.6%
2 Czechia 3%
3 Spain 2.7%
4 Netherlands 2.7%
5 United States 2.7%
All countries →

Assistants that repeat it most often pooled across all question types

Each assistant's share across every question type and market. Same claims, asked in each market’s own language.

1 Google AI Overviews 7.7%
2 Gemini 3.4%
3 Grok 3%
4 Claude 0.7%
5 Perplexity 0.2%
All assistants →

Which kind of false claim spreads most pooled across all question types

How the false claim is attached to a true fact — from a pure invention to a real event with a single detail changed.

True fact, false conclusion + true once, told as current 14.3%
Invented from nothing 3%
One fact swapped out 2.2%
True fact, false conclusion 1.2%
Claims by type →

From the question to the published evidence

Methodology →

Six steps, from the first question we put to an assistant to the re-measurement four weeks later.

1

We ask the questions

We ask each assistant the questions people ask about Ukraine. We record what it does with a documented false claim.

2

We check the sources

We take every source the assistant cited and match it against our versioned watchlist of domains.

3

We publish the finding

Each claim gets a permanent page: our verdict, the evidence, and what is genuinely true underneath.

4

We report it

We send findings to the platforms, and listed domains to registrars, hosts and CERT partners.

5

We confirm with partners

We share everything with Ukrainian institutions and fact-checkers, and link their findings.

6

We test again

Four weeks later we run the identical questions and publish the before and after.

How you can check us

Every figure here traces back to the evidence behind it. Every statement about a platform traces back to the message we sent it, and the reply.

How we test

Every verdict and number links to how it was produced.

See the method →

Download the data

CSV and JSON under CC BY 4.0, free to download and reuse.

Browse the data →

Actions taken

Every report sent and every answer received, dated.

See the log →

Corrections and updates

Errors are fixed on the page and listed in the changelog.

How corrections work →