Online disinformation and fake media content have emerged as a serious threat to democracy, economy and society.
Recent advances in AI have enabled the creation of highly realistic synthetic content and its artificial amplification
through AI-powered bot networks. Consequently, it is extremely challenging for researchers and media professionals to
assess the veracity/credibility of online content and to uncover the highly complex disinformation campaigns.
vera.ai seeks to build professional trustworthy AI solutions against advanced disinformation techniques, co-created with
and for media professionals & researchers and to also set the foundation for future research in the area of AI against
disinformation.
Key novel characteristics of the AI models will be fairness, transparency (incl. explainability), robustness against concept
drifts, continuous adaptation to disinformation evolution through a fact-checker-in-the-loop approach, and ability to
handle multimodal and multilingual content. Recognising the perils of AI generated content, we will develop tools for
deepfake detection in all formats (audio, video, image, text).
vera.ai adopts a multidisciplinary co-creation approach to AI technology design, coupled with open source algorithms.
A unique key proposition is grounding of the AI models on continuously collected fact-checking data gathered from the
tens of thousands of instances of “real life” content being verified in the InVID-WeVerify plugin and the Truly Media/
EDMO platform. Social media and web content will be analysed and contextualised to expose disinformation campaigns
and measure their impact.
Results will be validated by professional journalists and fact checkers from project partners (DW, AFP, EUDL, EBU),
external participants (through our affiliation with EDMO and seven EDMO Hubs), the community of more than
53,000 users of the InVID-WeVerify verification plugin, and by media literacy, human rights and emergency response
organisations.