{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/argotario-computational-argumentation-meets","title":"Argotario: Computational Argumentation Meets Serious Games","arxiv_id":"1707.06002","date":"2017-07-19","proceeding":"EMNLP 2017 9","authors":["Ivan Habernal","Raffael Hannemann","Christian Pollak","Christopher Klamm","Patrick Pauli","Iryna Gurevych"],"abstract":"An important skill in critical thinking and argumentation is the ability to\nspot and recognize fallacies. Fallacious arguments, omnipresent in\nargumentative discourse, can be deceptive, manipulative, or simply leading to\n`wrong moves' in a discussion. Despite their importance, argumentation scholars\nand NLP researchers with focus on argumentation quality have not yet\ninvestigated fallacies empirically. The nonexistence of resources dealing with\nfallacious argumentation calls for scalable approaches to data acquisition and\nannotation, for which the serious games methodology offers an appealing, yet\nunexplored, alternative. We present Argotario, a serious game that deals with\nfallacies in everyday argumentation. Argotario is a multilingual, open-source,\nplatform-independent application with strong educational aspects, accessible at\nwww.argotario.net.","url_abs":"http://arxiv.org/abs/1707.06002v1","url_pdf":"http://arxiv.org/pdf/1707.06002v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"argotario-computational-argumentation-meets","repo_url":"https://github.com/UKPLab/argotario","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1707.06002","atlas_url":"https://app.syntology.ai/?focus=1707.06002","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}