Predictive Research on Misinformation and narratives Propagation Trajectories (PROMPT)
Aim
Description
As malicious campaigns multiply, the PROMPT (Predictive Research on Misinformation and narratives Propagation Trajectories) pilot project advances the work of the European Narratives Observatory. We analyze vast amounts of textual data to detect malevolent narratives, focussing on three case-studies: the war in Ukraine, LGBTQI+ rights, and the 2024 European elections.
PROMPT uses the power of LLMs combined with dynamic network analysis for the in-depth recognition of formal patterns across media outlets, social networks and Wikipedia, in 8 languages, based on the rhetorical similarities observed qualitatively. With leading AI-scientists, academics and journalists, we’re developing a refined language model, a narrative monitoring dashboard and MOOCs/trainings for civil society activities.
Lead Partner
- Opsci (leading partner)
Coordinator contact details martin
opsci[pnkts]ai / jordanopsci[pnkts]ai
Project Partners
- Universita degli Studi di Urbino Carlo Bo
- HUN-REN Center for Social Sciences
- Re:Baltica
- Les Surligneurs
- Erich Brost Institute for International Journalism
- Wikimedia France
- Asociația Digital Bridge
- Orizzonti Politici APS (OriPo or Orizzonti Politici)
RSU team
Researchers
Acting Researcher
Administrative assistant
Activities
RSU researchers will help detect misinformation and improve public media literacy
Results
Project results are available on the project website
MOOC Module
We are pleased to announce the release of a new online course designed to address the growing challenges of disinformation and artificial intelligence (AI) in journalism. This course was developed as part of the PROMPT Project and integrated in the COPE (Covering Cohesion Policy in Europe) Training MOOC, which aims to strengthen journalism education in Europe through innovative learning materials.
As malicious campaigns multiply, this new module focuses on how AI is both a tool and a challenge in identifying disinformation. It introduces key concepts and provides real-world case studies that help students analyse how false information is created, amplified, and consumed - particularly during sensitive political and social moments, such as the Russian invasion of Ukraine and European elections as well as disinformation campaigns against LGBTQ+ communities.
“Narratives, News, and Noise: AI, Journalism, and the Integrity of Information” is now live. A free, self-paced course built for journalism students - and everyone who cares about truth in democracy.
What the module offers
- An overview of AI’s dual role in spreading and detecting disinformation
- Analysis of relevant case studies, including campaigns targeting LGBTIQ+ communities, the Russian invasion of Ukraine and the Romanian elections
- The Throughput Model: a framework to analyse disinformation flows
- Tools and insights for fact-checking and navigating misinformation
- Ethical dilemmas and evolving regulatory responses
Who it’s for
This course is designed for journalism students but is also relevant for educators, media professionals, and anyone interested in the intersection of AI, media, and democracy. It can be completed independently or as part of the broader COPE curriculum, which includes 14 modules on various dimensions of journalism and public engagement. The MOOC module was developed as part of the EU-funded PROMPT project.
