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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Tool
Organization Unit
Authors
  • Liudmila Zavolokina
  • Kilian Sprenkamp
  • Zoya Katashinskaya
  • Daniel Gordon Jones
  • Gerhard Schwabe
Presentation Type paper
Item Subtype Original Work
Refereed No
Status Published in final form
Language
  • English
ISBN 979-8-4007-0330-0
Page Range 491
Event Title CHI '24: CHI Conference on Human Factors in Computing Systems
Event Type conference
Event Location Honolulu, USA
Event Start Date May 11 - 2024
Event End Date May 16 - 2024
Series Name Proceedings of the CHI Conference on Human Factors in Computing Systems
Number 491
Publisher ACM Digital library
Abstract Text 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 paper 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 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.
Free access at DOI
Digital Object Identifier 10.1145/3613904.3642805
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