Imagine a giant filter for the internet that catches fake news before it goes viral. It uses smart software to scan images, audio, and text across different languages, then alerts human experts to double-check the most suspicious parts. This team effort ensures that the final reports are accurate and trustworthy, rather than just relying on a machine's guess.
The volume of online disinformation is produced faster than humans can analyze it, making it impossible for media and policymakers to stop fake news outbreaks manually.
A hybrid AI-human monitoring system that scans multimodal content across social platforms and provides validated risk reports.
If you are a news agency dealing with the rapid spread of fake stories — this project developed a hybrid monitoring system that flags high-risk content for expert review. This allows your team to verify facts in near real-time across multiple platforms. It helps you maintain credibility by providing reliable data reports.
If you are a crisis management firm dealing with coordinated smear campaigns — this project developed AI algorithms that analyze multimodal content in multiple languages. This allows you to identify emerging disinformation signals and unreliable sources quickly. You can then provide policymakers with trustworthy elements to stop outbreaks.
If you are a public policy unit dealing with infodemics affecting public health or climate change — this project developed a tool to monitor social media platforms like Telegram and YouTube. This provides quantitative indicators of risk to help you create targeted communication strategies. It ensures your responses are based on validated data.
Based on available project data, no pricing or cost structure is mentioned as this is a Horizon-RIA research project.
The project is designed to monitor multiple social platforms in near real-time and covers up to 70% of EU languages, suggesting a high capacity for scale.
Based on available project data, specific licensing terms are not provided, though it is developed by a consortium of 18 partners.
It is designed as a hybrid system where AI flags content and human fact-checkers provide validation, intended to be integrated into the standard toolbox of data analysts.
The project period runs from 2023-01-01 to 2026-02-28, indicating it is currently in the development and testing phase.
The consortium is well-balanced for technology transfer, featuring 18 partners across 11 countries. With a 28% industry ratio (5 industrial partners, 6 of which are SMEs), there is a strong bridge between the 4 universities and 5 research centers and the commercial market, ensuring the tool is built for practical use by data analysts.
Fondazione Bruno Kessler
Contact us to explore integration of AI4TRUST's disinformation detection tools into your monitoring stack.
