Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation
arXiv:2606.01020v1 Announce Type: cross Abstract: Identifying logical fallacies in everyday discourse is challenging for many people. This challenge is amplified in the era of Large Language Models (LLMs), where malicious agents can deploy fallacious arguments to disseminate misinformation at scale. In this work, we explore the potential of LLMs as part of the solution. We introduce LFTutor, an intelligent tutoring system which uses LLMs to tutor laypeople and help them learn about logical fallacies. LFTutor integrates intent-driven Socratic questioning and critical argumentation principles to
The proliferation of LLMs and their potential for misinformation dissemination necessitates immediate counter-measures, making this research timely.
This work addresses a critical vulnerability in the information ecosystem by leveraging AI itself to improve human critical thinking skills against AI-generated misinformation.
The development of AI-powered tutoring systems like LFTutor could empower laypeople to better identify and resist logical fallacies in digital discourse.
- · Educational technology companies
- · General public
- · Organizations fighting misinformation
- · AI ethics researchers
- · Malicious actors spreading misinformation
- · Platforms struggling with content moderation
Increased public literacy in identifying logical fallacies, potentially leading to a more discerning online audience.
Reduced effectiveness of AI-driven misinformation campaigns as their fallacious arguments are actively countered by an educated populace.
A shift in social media platform design towards integrating educational tools to foster critical thinking rather than just content moderation.
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