Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Tool
arXiv:2402.19135 · doi:10.1145/3613904.3642805
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 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.
The paper is accepted for publication in proceedings of the CHI Conference on Human Factors in Computing Systems (2024)
References in corpus (7)
- LLaMA: Open and Efficient Foundation Language Models
- Exploring Lightweight Interventions at Posting Time to Reduce the Sharing of Misinformation on Social Media
- SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles
- Detecting Fake News Using Machine Learning : A Systematic Literature Review
- From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
- Large Language Models for Propaganda Detection
- User Perceptions of Automatic Fake News Detection: Can Algorithms Fight Online Misinformation?