Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Tool

Abstract:

In today’s digital age, characterized by rapid news consumption and increasing vulnerability to propaganda, fostering citizens' critical thinking is crucial for stable democracies. This research explores the intersection of psychology and artificial intelligence to address this challenge. I will discuss the power of digital nudging and Large Language Models to identify propaganda in news content and stimulate more analytical and critical engagement with information. This study presents a design of such a propaganda detection tool and discusses its implications for understanding and combating digital propaganda. Can AI truly enhance critical thinking in news consumption? What are the limitations of using AI for propaganda detection? 

Short bio:

Dr. Liudmila Zavolokina is a postdoctoral researcher at the Digital Society Initiative at the University of Zurich and an incoming assistant professor at the University of Lausanne. She holds a PhD in Information Systems from the Department of Computer Science of the University of Zurich. Her research is design-oriented and focuses on enterprise blockchains, digital resilience, and digital platforms and AI for public value. Liudmila also spent several years working in the software industry in roles at the intersection between business and technology.