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Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices

Habernal, Ivan and Pauli, Patrick and Gurevych, Iryna :
Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices.
[Online-Edition: http://www.lrec-conf.org/proceedings/lrec2018/summaries/494....]
In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC). European Language Resources Association Miyazaki, Japan , pp. 3329-3335.
[Book Section] , (2018)

Official URL: http://www.lrec-conf.org/proceedings/lrec2018/summaries/494....

Abstract

As argumentation about controversies is culture- and language-dependent, porting a serious game that deals with daily argumentation to another language requires substantial adaptation. This article presents a study of deploying Argotario (serious game for learning argumentation fallacies) into the German context. We examine all steps that are necessary to end up with a successful serious game platform, such as topic selection, initial data creation, or effective campaigns. Moreover, we analyze users’ behavior and in-game created data in order to assess the dissemination strategies and qualitative aspects of the resulting corpus. We also report on classification experiments based on neural networks and feature-based models.

Item Type: Book Section
Erschienen: 2018
Creators: Habernal, Ivan and Pauli, Patrick and Gurevych, Iryna
Title: Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices
Language: English
Abstract:

As argumentation about controversies is culture- and language-dependent, porting a serious game that deals with daily argumentation to another language requires substantial adaptation. This article presents a study of deploying Argotario (serious game for learning argumentation fallacies) into the German context. We examine all steps that are necessary to end up with a successful serious game platform, such as topic selection, initial data creation, or effective campaigns. Moreover, we analyze users’ behavior and in-game created data in order to assess the dissemination strategies and qualitative aspects of the resulting corpus. We also report on classification experiments based on neural networks and feature-based models.

Title of Book: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC)
Publisher: European Language Resources Association
Uncontrolled Keywords: UKP_a_ArMin;UKP_p_ArguAna
Divisions: Department of Computer Science
Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Location: Miyazaki, Japan
Date Deposited: 14 Dec 2017 15:20
Official URL: http://www.lrec-conf.org/proceedings/lrec2018/summaries/494....
Identification Number: TUD-CS-2018-0009
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