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) in 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.
@InProceedings{HABERNAL18.494, author = {Ivan Habernal and Patrick Pauli and Iryna Gurevych}, title = "{Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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