DISPUTool 3.0: Fallacy Detection and Repairing in Argumentative Political Debates

This paper introduces and evaluates a novel web-based application designed to identify and repair fallacious arguments in political debates.DISPUTool 3.0 offers a comprehensive tool for argumentation analysis of political debate, integrating state-of-the-art natural language processing techniques to mine and classify argument components and relations.DISPUTool 3.0 builds on the ElecDeb60to20 dataset, covering US presidential debates from 1960 to 2020.In this paper, we introduce a novel task which is integrated as a new module in DISPUTool, i.e., the automatic detection and classification of fallacious arguments, and the automatic repairing of such misleading arguments.The goal is to show to the user a tool which not only identifies fallacies in political debates, but it also shows how the argument looks like once the veil of fallacy falls down.An extensive evaluation of the module is addressed employing both automated metrics and human assessments.With the inclusion of this module, DISPUTool 3.0 advances even more user critical thinking in front of the augmenting spread of such nefarious kind of content in political debates and beyond.The tool is publicly available here: https: //3ia-demos.inria.fr/disputool/