Окупанти завдали удару КАБами по Сумах, внаслідок чого під завалами можуть перебувати люди.
Defending Truth Against Disinformation in Ukraine
We monitor public Ukrainian Telegram channels around the clock, cluster what they publish and check the factual claims. Every report has its own dashboard, and the data behind it is open.
Latest reports
Published as the news breaks, each with its own dashboard.
Центральне телеграфне агентство КНДР повідомило, що Міністерство оборони КНДР попередило США, Південну Корею та Японію про можливе застосування ядерної зброї у відповідь на їхню політику. Загроза стосується насамперед…
У проєкті бюджету на 2027 рік передбачено 263 млн грн на облаштування підземного бункера для Верховної Ради. Це спеціально обладнане приміщення, де народні депутати зможуть проводити засідання та голосувати під час…
Aisberg in numbers
Figures as of 15 September 2026; collection runs continuously. How the numbers are produced.
What you get
Readers
The Telegram channel: what the news channels say about each event, which manipulation techniques appear in the coverage, and what the fact-check found. Free, no account needed.
Researchers
An open CC BY 4.0 dataset: monthly snapshots of de-identified posts and comments, plus a JSON file per report with its analysis and full fact-checking evidence chain. Custom extracts on request.
Newsrooms and fact-checkers
Automated verification that returns a verdict with its sources, their dates and the stance of each. We run it on your claim sets, free for non-commercial work.
About Aisberg
Aisberg is a Ukrainian NGO working on disinformation research, fact-checking and media literacy. Rather than opinions about the information space, we publish measurements: what was posted, how fast it spread, who was first and how audiences reacted.
Like an iceberg, most of the information ecosystem sits below the surface. We bring that layer into view and publish the data so others can check our work.
Collection
Posts are captured as they appear, then re-measured four times during the first hour.
Clustering
Multilingual embeddings group posts about one event across channels into a trackable narrative.
Manipulation detection
Each cluster is scanned for a defined set of manipulation techniques and for coordinated framing.
Fact-checking
Claims are checked against dated, scored web sources: 3,569 so far, unverifiable ones included.
How it worksAudience analysis
Comment threads are analysed for sentiment and for patterns of coordinated activity.
Open data
Reports, analysis and de-identified source material are released as a public dataset.
Roadmap
Published so you can hold us to it.
- A public web dashboard with search and filtering across every cluster.
- Quarterly reports: written analysis of the narratives surfaced over the previous three months.
- Media literacy materials that explain manipulation techniques with real examples from our data.
- Partnerships that feed live narrative clusters into the verification workflows fact-checkers and newsrooms already run.
- Broader channel coverage.
Partnerships and People
We work with donors, fact-checking organizations, newsrooms and researchers, and we welcome volunteers who share our values.
Discuss a partnership Become a volunteer