Imagine a digital map that doesn't just show where a fake story is spreading, but predicts if that story will lead to real-world violence. It acts like a smoke detector for the internet, spotting bot-driven lies before they turn into actual crimes. It helps authorities understand who is starting the fire and how to put it out before people get hurt.
Fake news and bot-driven disinformation are no longer just online nuisances; they are triggering physical violence and infrastructure attacks. Organizations lack tools to predict when a digital trend will turn into a costly real-world security breach.
An integrated platform featuring three key tools: a social media message tracker (bot vs human), a crime landscape estimator based on sentiment, and a financial cost calculator for disinformation-induced violence.
If you are an infrastructure provider dealing with targeted attacks on cell towers — this project developed a platform that identifies disinformation campaigns. It can help prevent the 96% of attacks aimed at telecom gear by spotting the online triggers early.
If you are a threat intelligence firm dealing with bot-driven social engineering — this project developed tools that distinguish between human and bot-operated accounts. This allows for more accurate mapping of how malicious messages travel across networks.
If you are a risk agency dealing with unpredictable civil unrest — this project developed a system that calculates the likely costs of disinformation-induced violence. This enables more precise financial forecasting for security-related losses.
Based on available project data, specific commercial pricing is not listed, although the project received an EU contribution of EUR 3,999,815 for development.
The tools were validated through three specific use cases involving right-wing, left-wing, and Covid-related extremism, suggesting it can handle large-scale social media data.
Based on available project data, the specific licensing model is not mentioned, but the results are intended for exploitation by law-enforcement agencies.
The project built an integrated platform designed specifically for law-enforcement agency end-users to facilitate investigations and threat assessments.
The project period runs from 2022-10-01 to 2025-09-30, indicating the technology is currently in its final validation and exploitation phase.
The project is backed by a diverse group of 18 partners across 11 countries. With a 22% industry ratio (4 companies, including 2 SMEs), the consortium balances academic research from 5 universities and 2 research centers with practical application, ensuring the tools are grounded in both theory and operational law-enforcement needs.
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