Imagine having a super-smart digital detective that can tell if a video or image is a fake just by looking at it. It doesn't just guess; it finds evidence and tracks where the lie started across different languages. It's like a high-tech filter that helps people separate real news from computer-generated trickery.
The rise of AI-generated deepfakes and bot-driven disinformation makes it nearly impossible for professionals to verify content manually. This creates massive reputational and financial risks for organizations that rely on accurate information.
An enhanced verification plugin, a Database of Known Fakes (DBKF), and a chatbot-based debunking assistant for media professionals.
If you are a news agency dealing with the risk of publishing fake videos — this project developed a verification plugin and assistant that detects synthetic media. This ensures your reporting remains credible and prevents the spread of deepfakes.
If you are a threat intelligence firm dealing with coordinated disinformation campaigns — this project developed tools for tracking narratives across social platforms. This allows you to measure the impact of bot networks and protect clients from manipulation.
If you are a communications agency dealing with brand reputation attacks — this project developed a Database of Known Fakes (DBKF). This helps you quickly identify and debunk manipulated content targeting your clients.
Based on available project data, the tools are described as open and accessible to trusted partners, but specific commercial pricing is not mentioned.
Yes, the project integrates with the InVID-WeVerify plugin, which already has a community of more than 53,000 users, indicating significant scale.
The project adopts a co-creation approach using open source algorithms, though specific licensing agreements for the final tools are not detailed.
The project focuses on integration into leading verification platforms and provides a chatbot NLP technology for debunk authoring assistance.
The project period runs from 2022-09-15 to 2025-11-14, with final public releases of professional tools expected toward the end of this period.
The consortium is highly diverse, consisting of 14 partners across 10 countries. While it is research-heavy with 5 universities and 3 research institutes, it maintains a practical edge with 2 industry partners and 3 SMEs. The inclusion of major media entities like AFP and DW ensures the tools are built for real-world professional requirements rather than just theoretical use.
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