Critical Thinking by Design: Leveraging Generative AI for Algorithmic Nudging in Automated Propaganda Detection

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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 study introduces the design of ClarifAI, a novel automated propaganda detection tool designed to nudge readers towards more critical news consumption by activating the analytical mode of thinking, following Kahneman's dual-system theory of cognition. Using Large Language Models, ClarifAI detects propaganda in news articles and provides context-rich explanations, enhancing users' understanding and critical thinking. Our contribution is threefold: first, we propose the innovative design of ClarifAI; second, in an online experiment, we demonstrate that this design effectively encourages news readers to engage in more critical reading; and third, we emphasize the value of explanations for fostering critical thinking. The study thus offers both a practical tool and useful design knowledge for mitigating propaganda in digital news.

Biography

Dr. Liudmila (Mila) Zavolokina is a postdoctoral fellow at the Digital Society Initiative of the University of Zurich (UZH). In her research, she focuses on topics of blockchain, digital platforms for public value and data-driven decision-making.