Predictive Research On Misinformation and narratives Propagation Trajectories

    Project Details

    Description

    Fighting disinformation remains challenging, yet targeting misleading narratives offers hope. Our proposal advances the European Narratives Observatory's work, using innovative methods to counteract misinformation. We leverage advanced Large Language Models (LLM) to analyze vast textual data, pinpointing subtle misleading narratives overlooked by older tools. Our approach combines established techniques like dynamic network analysis with LLM's capabilities, promising efficient yet frugal deployment across varied sources and languages. We focus on key informational nodes, like media and Wikipedia, realizing their significant influence on public opinion. Deliverables include a refined language model, narrative monitoring system, and three in-depth case studies on the Ukraine conflict, LGBTQI+ narratives, and the 2024 European elections in France, Baltic Region, Italy and Romania. We'll produce 36 journalistic pieces showcasing our techniques and launch a pioneering MOOC for journalists.
    AcronymPROMPT
    StatusActive
    Effective start/end date1/09/2428/02/26

    Collaborative partners

    • Rīga Stradiņš University
    • OPINION SCIENCE (lead)
    • Asociatia Digital Bridge
    • Center for Social Sciences
    • Erich Brost Institute
    • Les Surligneurs
    • Orizzonti Politici
    • Re:Baltica
    • University of Urbino
    • Wikimedia France

    Total Funding

    • European Commission: €999,518.52

    Field of Science

    • 5.8 Media and Communication

    Smart Specialization Area

    • Social sciences and humanities as fields with horizontal impact on RIS3

    Fingerprint

    Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.