Daniel Gatica-Perez

Idiap, IDIAP / IC, EPFL. Profile page

Daniel Gatica-Perez is mapped on the EPFL MDH Research Landscape for work on misinformation, disinformation. 10 of their works are recorded here.

Works recorded here

• Framing Migration News with LLMs: Structured CoT as a Support for Human Interpretation
  publication, 2026, adjacent MDH relevance
• Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework
  publication, 2023, direct MDH relevance
• How Did Europe's Press Cover Covid-19 Vaccination News? A Five-Country Analysis
  publication, 2022, adjacent MDH relevance
• Referencing in YouTube Knowledge Communication Videos
  publication, 2023, direct MDH relevance
• Trust Indicators and Explainable AI: A Study on User Perceptions
  publication, 2021, adjacent MDH relevance
• FAccT-Checked: A Narrative Review of Authority Reconfigurations and Retention in AI-Mediated Journalism
  publication, 2026, adjacent MDH relevance
• Generative AI Literacy: Twelve Defining Competencies
  publication, 2024, adjacent MDH relevance
• Human Interest or Conflict? Leveraging LLMs for Automated Framing Analysis in TV Shows
  publication, 2024, adjacent MDH relevance
• Framing the News: From Human Perception to Large Language Model Inferences
  publication, 2023, adjacent MDH relevance
• DEMO-AI (DEmocracy and Media Oversight in the era of AI and disinformation)
  project, 2026, direct MDH relevance

Open this actor on the interactive map

Part of the EPFL MDH Research Landscape, a map of research at EPFL on misinformation, disinformation and hate speech. The whole dataset is at data.json and in one readable file at mdh-landscape.md.