Short case
Short case
FERMI – Fake News Risk Mitigator


The challenge
Generative AI has armed hostile actors with unprecedented power to create convincing fakes and disinformation. These narratives, cloaked behind botnets, encrypted chats, and decentralised platforms, often spill into real-world crime.
In 2024, a coordinated disinformation campaign slipped past Romania’s defences, forcing the annulment of a national election; street violence erupted soon after.
European law enforcement agencies urgently need a tool to anticipate and counter these threats.
Generative AI has armed hostile actors with unprecedented power to create convincing fakes and disinformation. These narratives, cloaked behind botnets, encrypted chats, and decentralised platforms, often spill into real-world crime.
In 2024, a coordinated disinformation campaign slipped past Romania’s defences, forcing the annulment of a national election; street violence erupted soon after.
European law enforcement agencies urgently need a tool to anticipate and counter these threats.
The solution
The Fake News Risk Mitigator (FERMI) – launched as an EU-project in July 2022 – gives law-enforcement agencies a real-time early-warning dashboard built around three stages:
- Step 1: Classify the content
Bot-or-not: Is the content AI-generated or automated?
Sentiment: Is the tone angry, fearful, or reassuring?
Intent: Is the author trying to inform, manipulate, recruit, or incite?
- Step 2: Map the network
Who: Which accounts are linked to a suspect post?
Influence: Who are the key amplifiers, sources, victims and likely targets?
Vulnerability: Which communities are most vulnerable to the narrative?
- Step 3: Predict & alert
Real-world threat: What’s the probability that a rumour could escalate into criminal activity, such as hate crimes, riots, or other offences?
Alerts: Is an instant warning to police necessary? If so, FERMI alerts the police so they can quickly counter-message, reach out or deploy on the ground before trouble starts.
We led the development of the spread-analysis engine, user interface, quality control, and risk management.
The Fake News Risk Mitigator (FERMI) – launched as an EU-project in July 2022 – gives law-enforcement agencies a real-time early-warning dashboard built around three stages:
- Step 1: Classify the content
Bot-or-not: Is the content AI-generated or automated?
Sentiment: Is the tone angry, fearful, or reassuring?
Intent: Is the author trying to inform, manipulate, recruit, or incite?
- Step 2: Map the network
Who: Which accounts are linked to a suspect post?
Influence: Who are the key amplifiers, sources, victims and likely targets?
Vulnerability: Which communities are most vulnerable to the narrative?
- Step 3: Predict & alert
Real-world threat: What’s the probability that a rumour could escalate into criminal activity, such as hate crimes, riots, or other offences?
Alerts: Is an instant warning to police necessary? If so, FERMI alerts the police so they can quickly counter-message, reach out or deploy on the ground before trouble starts.
We led the development of the spread-analysis engine, user interface, quality control, and risk management.
The results
FERMI is now being rolled out EU-wide. Three successful projects were completed during the pilot phase, using live data with operational police teams.
- Finland
The Ministry of the Interior mapped bot-driven Russian refugee narratives within hours, pinpointed high-influence accounts, and helped officers focus outreach and patrols before extremist violence could ignite.
- Belgium (Eurotop summit)
The Federal Police used real-time alerts to redeploy units to likely clash points, run a rapid fact-check campaign, and stop far-left and far-right groups from clashing violently around the summit venue.
- Germany (Munich Security Conference)
Bavarian police tested FERMI’s full toolset against a left-wing extremist scenario, using crime-flow forecasts to harden vulnerable sites and coordinate messaging.
FERMI is now being rolled out EU-wide. Three successful projects were completed during the pilot phase, using live data with operational police teams.
- Finland
The Ministry of the Interior mapped bot-driven Russian refugee narratives within hours, pinpointed high-influence accounts, and helped officers focus outreach and patrols before extremist violence could ignite.
- Belgium (Eurotop summit)
The Federal Police used real-time alerts to redeploy units to likely clash points, run a rapid fact-check campaign, and stop far-left and far-right groups from clashing violently around the summit venue.
- Germany (Munich Security Conference)
Bavarian police tested FERMI’s full toolset against a left-wing extremist scenario, using crime-flow forecasts to harden vulnerable sites and coordinate messaging.
»Using FERMI's core platform component, the Spread analyser, can help authorities embark on more powerful measures in minimising the impact of fake news, preventing crime, or catching and investigating potential perpetrators«
Arttu Forsell, Senior Specialist at Strategy and Development Unit, Finnish Ministry of the Interior
Want to learn more?

Reach out to
Kostas Thivaios
Director, Research and Innovation Development (RID)
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