Liudmila Zavolokina

Digital Innovation Lab, UNIL HEC, External (UNIL HEC), EPFL

Liudmila Zavolokina is mapped on the EPFL MDH Research Landscape for work on disinformation, misinformation. 6 of their works are recorded here.

Works recorded here

• Biased by Design, Leveraging Inherent AI Biases to Enhance Critical Thinking of News Readers
  publication, 2025, direct MDH relevance
• Effective Yet Ephemeral Propaganda Defense, There Needs to Be More than One Shot Inoculation to Enhance Critical Thinking
  publication, 2025, direct MDH relevance
• Think Fast, Think Slow, Think Critical, Designing an Automated Propaganda Detection Tool (ClarifAI)
  publication, 2024, direct MDH relevance
• Large Language Models for Propaganda Detection
  publication, 2023, direct MDH relevance
• From Information-Seeking to Information-Asking: Designing RefuGPT, a Chatbot for Ukrainian Refugees in Switzerland
  publication, 2025, adjacent MDH relevance
• Investigating Disability Representations in Text-to-Image Models
  publication, 2026, adjacent 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.