DesinfoScan

Monitoring of disinformation and its social impact using Artificial Intelligence: application to security for society (DesinfoScan)

December 1, 2022 - November 30, 2024 | TED2021-129402B-C21

Team

UGRITAI-Lab (Department of Computer Science and A.I.), Department of Criminal Law

Principal Investigators

María José Martín Bautista

María Dolores Ruiz Jiménez

About the project

The unrestricted accessibility of the Internet has facilitated the widespread dissemination of content through various social media platforms, fostering democratic discourse and diverse opinions on various issues. However, this freedom also enables the spread of false information, posing significant risks to individuals, society and democratic processes. Examples include hate speech, misinformation about pandemics and propaganda influencing elections. To combat these abuses, access to appropriate technologies to detect and counter fake news and disinformation is crucial. Artificial intelligence (AI) and data science offer promising solutions through text mining, event detection and sentiment analysis. DESINFOSCAN aims to improve these techniques by developing an integrated AI tool for real-time disinformation detection. This tool will monitor streaming data from multiple social media sources to identify and analyse fake news and measure social reactions, enabling visualisation and tracking of such content.

Funding

Grant TED2021-129402B-C21 funded by MICIU/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR

(MICIU: Ministry of Science, Innovation and Universities, AEI: State Research Agency, ERDF: European Regional Development Fund, Next Generation EU: EU Recovery, Transformation and Resilience Plan, PRTR: Spanish Recovery, Transformation and Resilience Plan)

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