Zoya Katashinskaya: Researcher — Prolific Citations Library

Explore 1 peer-reviewed study by Zoya Katashinskaya in AI Ethics and AI Bias (2025). Discover research powered by Prolific's participant panel.

This page lists 1 peer-reviewed paper authored or co-authored by Zoya Katashinskaya in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Biased By Design: Leveraging AI Biases to Enhance Critical Thinking of News Readers

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.