Autores UPV
Rosso Paolo,
Chulvi Ferriols María Alberta,
Korencic Damir,
Mariona Taulé,
Xavier Bonet,
David Camacho,
Ángel Panizo,
David Arroyo,
Juan Gómez,
Rangel Pardo Francisco Manuel
Abstract
The aim of the XAI-DisInfodemics project is to investigate strategies for fighting disinformation based on insights from social science. To address the challenges of disinformation, we need interdisciplinary collaboration and the development of tools that private and public entities can use. The developed tools need to address the problem of disinformation detection from an eXplainable Artificial Intelligence (XAI) perspective. We aim to counter disinformation and conspiracy theories on the basis of fact checking of scientific information. Moreover, our aim is to be able to explain not only the AI models in their decision-making but also the narratives that are employed to trigger emotions in the readers and make disinformation and conspiracy theories believable and propagate among the social networks users. We also focus on the important problem of distinguishing between conspiracies and texts which are simply critical and oppositional from a mainstream perspective. The final AI tool should help users to spot in documents those parts whose aim is to grab readers¿ attention by emotional appeals and that alert about a poor quality of the information. The tool is thought for the general public to improve users¿ digital literacy and its use will allow media and information platforms to be rated based on the quality of their health information.
