Legal Framework, Dataset and Annotation Schema for Socially Unacceptable Online Discourse Practices in Slovene

Darja Fišer, Tomaž Erjavec, Nikola Ljubešić


Abstract
In this paper we present the legal framework, dataset and annotation schema of socially unacceptable discourse practices on social networking platforms in Slovenia. On this basis we aim to train an automatic identification and classification system with which we wish contribute towards an improved methodology, understanding and treatment of such practices in the contemporary, increasingly multicultural information society.
Anthology ID:
W17-3007
Volume:
Proceedings of the First Workshop on Abusive Language Online
Month:
August
Year:
2017
Address:
Vancouver, BC, Canada
Editors:
Zeerak Waseem, Wendy Hui Kyong Chung, Dirk Hovy, Joel Tetreault
Venue:
ALW
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
46–51
Language:
URL:
https://aclanthology.org/W17-3007
DOI:
10.18653/v1/W17-3007
Bibkey:
Cite (ACL):
Darja Fišer, Tomaž Erjavec, and Nikola Ljubešić. 2017. Legal Framework, Dataset and Annotation Schema for Socially Unacceptable Online Discourse Practices in Slovene. In Proceedings of the First Workshop on Abusive Language Online, pages 46–51, Vancouver, BC, Canada. Association for Computational Linguistics.
Cite (Informal):
Legal Framework, Dataset and Annotation Schema for Socially Unacceptable Online Discourse Practices in Slovene (Fišer et al., ALW 2017)
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PDF:
https://aclanthology.org/W17-3007.pdf