4 papers
Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification
Eleni Papadopulos, Firoj Alam, Giovanni Da San Martino
In today's fast-paced information era, logical fallacies, defined as defective patterns of reasoning, inevitably contribute to the growth of information disorder. However, often fa…
MALicious INTent Dataset and Inoculating LLMs for Enhanced Disinformation Detection
Arkadiusz Modzelewski, Witold Sosnowski, Eleni Papadopulos +4
The intentional creation and spread of disinformation poses a significant threat to public discourse. However, existing English datasets and research rarely address the intentional…
Detecting Winning Arguments with Large Language Models and Persuasion Strategies
Tiziano Labruna, Arkadiusz Modzelewski, Giorgio Satta +1
Detecting persuasion in argumentative text is a challenging task with important implications for understanding human communication. This work investigates the role of persuasion st…
Can AI-Generated Persuasion Be Detected? Persuaficial Benchmark and AI vs. Human Linguistic Differences
Arkadiusz Modzelewski, Paweł Golik, Anna Kołos +1
Large Language Models (LLMs) can generate highly persuasive text, raising concerns about their misuse for propaganda, manipulation, and other harmful purposes. This leads us to our…