If you are a platform operator dealing with toxic user environments — this project developed NLP and social network analysis tools that help identify harmful content and deploy counter-narratives. This reduces the risk of platform misuse and improves user safety.
AI-Powered Tools to Detect and Counter Hate Speech and Disinformation Across Europe
Imagine a smart filter that doesn't just block bad words, but understands how fake news spreads like a virus through a network. It uses a mix of psychology and tech to create digital 'vaccines'—like games and virtual reality—that teach people how to spot lies. The goal is to give authorities and organizations a toolkit to stop online hate before it turns into real-world violence.
What needed solving
Organizations struggle to identify and neutralize sophisticated disinformation and hate speech that evolves faster than manual moderation can handle. There is a lack of standardized, culturally sensitive tools to combat these threats across different European languages.
What was built
A suite of AI tools using NLP, social network analysis, and NLG, alongside immersive training modules using gamification and AR/XR.
Who needs this
Who can put this to work
If you are a training provider dealing with low engagement in ethics courses — this project developed gamification and AR/XR training methods that increase awareness about disinformation. This allows for more effective, immersive learning experiences for professionals.
If you are a law enforcement agency dealing with coordinated disinformation campaigns — this project developed validated tools and methods for gathering data and implementing countermeasures. This ensures a standardized approach to maintaining public order while respecting privacy.
Quick answers
What is the cost or price of these tools?
Based on available project data, there is no pricing information provided as the project is funded by an EU contribution of EUR 2,999,980.
Can this be scaled to an industrial level?
Yes, the project objective explicitly mentions working towards scalable and sustainable solutions at national, EU, and global levels.
How is the IP and licensing handled?
Based on available project data, specific licensing terms are not listed, though the project aims to provide validated tools and curricula to stakeholders.
What regulations does this comply with?
The project is designed to respect fundamental rights, specifically freedom of expression and privacy, while standardizing European data gathering.
What is the implementation timeline?
The project runs from 2025-09-01 to 2028-08-31.
Who built it
The consortium is highly diverse, consisting of 22 partners across 9 countries. While it is research-heavy with 6 research organizations and 5 universities, it includes 2 industry partners and 3 SMEs, indicating a push toward commercial viability. The presence of 9 'other' organizations (likely LEAs and CSOs) ensures the tools are tested in real-world operational environments.
Contact Fondazione Bruno Kessler in Italy
Talk to the team behind this work.
Contact us to explore licensing opportunities for the AI-driven hate speech detection tools.