Цю сторінку ще не перекладено українською. Нижче — англійський оригінал; усі показники й дати однакові в обох мовах.
We detect, attribute and remediate Russia's $1.8B propaganda.
Citere protects enterprises and governments from Russian narrative attacks inside every major LLM by detecting when a model repeats a Kremlin narrative, attributing it to the network that seeded it, and remediating it.
Updated · Open data, CC BY 4.0 · How we measure
How often each assistant repeated a false claim · pooled across all four ways of asking · 43 published claims
Де ми тестуємо
Усі країни →A market is a country plus the language people ask in, so we ask in that language. Of the 14 on the list, the 13 with a completed run are shown here; the rest are queued and appear on the countries page. Austria and Germany are separate markets that share a language.
Turkey
Czechia
United States
Denmark
Spain
Netherlands
United Kingdom
Italy
Austria
Germany
Poland
France
Ukraine
Що ми знайшли
All 43 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.
UK and EU media sabotage peace efforts
Claim of EU-NATO hybrid war against Russia
Merz's priorities misrepresented
Anchorage Peace Agreement Claim
NATO nuclear strike testing claim
Ukraine controls Moldova's water supply
Хто повторює і що проходить
Усі рейтинги →Worst case so far: one assistant stated a false claim as fact in 8.1% 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.
Countries where the claims get through pooled across all four ways of asking
Share of answers that stated a false claim as fact. The same claims everywhere, asked in each country’s own language.
Assistants that repeat it most often pooled across all four ways of asking
Each assistant's share across every question type and market. Same claims, asked in each market’s own language.
The kind of lie that works best pooled across all four ways of asking
How the false claim is attached to a true fact. An invention gets refuted; a real event with one detail changed gets repeated.
Від запитання до виправлення
Methodology →Six steps, from the first question we put to an assistant to the re-measurement four weeks later.
Detect
We ask each chatbot the questions people ask about Ukraine, from neutral to hostile, and record what it does with a documented false claim.
Trace
We extract every source cited and match it against a versioned watchlist of domains.
Publish
Each claim gets a permanent page: verdict, evidence, what is genuinely true underneath.
Report
Findings go to platform trust-and-safety; domains to registrars, hosts and CERT partners.
Confirm
We share everything with Ukrainian institutions and fact-checkers, and link their findings.
Re-measure
Four weeks later we run the identical questions and publish the before and after.
Як нас перевірити
Every figure here traces back to the answer it came from. Every statement about a platform traces back to the message we sent it, and the reply.
We publish the data
CSV and JSON under CC BY 4.0, with a DOI per release.