Argotario: Computational Argumentation Meets Serious Games
Ivan Habernal, Raffael Hannemann, Christian Pollak, Christopher Klamm,, Patrick Pauli, Iryna Gurevych

TL;DR
Argotario is a multilingual serious game designed to help users identify and understand fallacies in argumentation, addressing the lack of resources and empirical studies in fallacious argument analysis.
Contribution
This paper introduces Argotario, a novel serious game platform for scalable data collection and educational engagement with fallacious argumentation.
Findings
Provides a new tool for data annotation of fallacies
Facilitates educational engagement in argumentation skills
Addresses resource scarcity in fallacious argument analysis
Abstract
An important skill in critical thinking and argumentation is the ability to spot and recognize fallacies. Fallacious arguments, omnipresent in argumentative discourse, can be deceptive, manipulative, or simply leading to `wrong moves' in a discussion. Despite their importance, argumentation scholars and NLP researchers with focus on argumentation quality have not yet investigated fallacies empirically. The nonexistence of resources dealing with fallacious argumentation calls for scalable approaches to data acquisition and annotation, for which the serious games methodology offers an appealing, yet unexplored, alternative. We present Argotario, a serious game that deals with fallacies in everyday argumentation. Argotario is a multilingual, open-source, platform-independent application with strong educational aspects, accessible at www.argotario.net.
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