A new EU-funded project starts today: AI4TRUST, focused on AI- and human-in-the-loop-based approaches to detect & characterize the production and spread/adoption of fake/dubious information. The project will improve fact-checking processes testing new methodologies and tools through seven different languages, processing texts, audio and video sources. More precisely, a platform will be built to combine the input of artificial intelligence and that of expert fact-checkers. The system will monitor a number of social media and information sources in near real-time, making use of hybrid social network and semantic data, relying diversely on text or multimedia content. It will therefore be able to select content with a high risk of misinformation so that it can be flagged for review by professional fact-checkers, whose input will provide additional information for improving the algorithms.
Coordinated by Trento-based Fondazione Bruno Kessler, the project includes partners from Estonia, France, Germany, Greece, Italy, the Netherlands, Poland, Romania, Spain, the United Kingdom and Switzerland. The CNRS partner is coordinated by the CSS team at CMB and involves also the CSO (Centre de Sociologie des Organisations, CNRS/SciencesPo) and the CREST (Center for Research in Economics and Statistics, CNRS/ENSAE/EP). Find out more here!