mlsanityData to 14 Oct 2026

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

arXiv 2402.19135 ↗First posted 29 Feb 2024cs.HC cs.AIcited by 10

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Abstract (arXiv)

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.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 19 of its 86 references that are in the map. First posted on arXiv 29 Feb 2024.

Builds on

19 of 86 references.

References · 19

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7 more
  1. 2021Detecting Fake News Using Machine Learning : A Systematic Literature Reviewcited by 19
  2. 2021Interpretable Propaganda Detection in News Articlescited by 17
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 8; 2026: 2.

10 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2025Shots and Boosters: Exploring the Use of Combined Prebunking Interventions to Raise Critical Thinking and Create Long-Term Protection Against Misinformation ↗
  2. 2026CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments
  3. 2026Unmasking Propaganda: A Comparative Analysis of Masked and Causal Language Models
  4. 2023Discourse Structures Guided Fine-grained Propaganda Identification
  5. 2025Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences?
  6. 2025PCoT: Persuasion-Augmented Chain of Thought for Detecting Fake News and Social Media Disinformation
  7. 2024Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs
  8. 2026Adapting Reinforcement Learning with Chain-of-Thought Supervision for Explainable Detection of Hateful and Propagandistic Memes