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XAI-DisInfodemics: IA explicable para desinformación y detección de conspiración durante infodemias

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XAI-DisInfodemics: eXplainable AI for disinformation and conspiracy detection during infodemics (PLEC2021-007681). Funded by: MCIN/ AEI/10.13039/501100011033/ and, as appropriate, by the “European Union NextGenerationEU/PRTR”. Participant: Universitat Politècnica de València (coordinator); Universidad Politécnica de Madrid; Universidad de Granada; Universitat de Barcelona; Instituto de tecnologçias Físicas y de Información "Leonardo Torres Quevedo" (ITEFI); SYMANTO Spani, SLU.

Short summary: The aim of this project is to build a holistic socio-technical strategy to fight infodemics. We adopt a human-in-the-loop approach to increase false information detection accuracy, while also improving users’ digital literacy. To address the challenges of disinformation, we need interdisciplinary collaboration, and the development of tools that private and public entities can use. EXplainable Artificial Intelligence (XAI) could provide these tools addressing the problem of disinformation detection from a multimodal perspective going beyond the analysis of textual information. We aim to counter disinformation and conspiracy theories on the basis of fact checking of scientific information. Moreover, we aim to be able to explain not only the AI models in their decision-making but also the persuasion and psychographics techniques that are employed to trigger emotions in the readers and make disinformation and conspiracy theories believable and propagate among the social network users.

Paolo Rosso
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