Authors: Liudmila Zavolokina, Kilian Sprenkamp, Zoya Katashinskaya, Daniel Gordon Jones
Year: 2025
Published in: ArXiv
Institution: University of Zurich
Research Area: AI Ethics, AI Bias, News Literacy, Critical Thinking, Computational Social Science
Discipline: Computational Social Science
The study explores leveraging inherent biases in AI to enhance critical thinking in news consumption, proposing strategies such as bias awareness, personalization, and gradual introduction of diverse perspectives.
Methods: Qualitative user study investigating user responses to personalized AI-driven propaganda detection tools.
Key Findings: The effectiveness of AI bias-based strategies in improving critical thinking and news readers’ engagement with diverse perspectives.
