Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying

Rachele Sprugnoli, Stefano Menini, Sara Tonelli, Filippo Oncini, Enrico Piras

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Abstract
Although WhatsApp is used by teenagers as one major channel of cyberbullying, such interactions remain invisible due to the app privacy policies that do not allow ex-post data collection. Indeed, most of the information on these phenomena rely on surveys regarding self-reported data. In order to overcome this limitation, we describe in this paper the activities that led to the creation of a WhatsApp dataset to study cyberbullying among Italian students aged 12-13. We present not only the collected chats with annotations about user role and type of offense, but also the living lab created in a collaboration between researchers and schools to monitor and analyse cyberbullying. Finally, we discuss some open issues, dealing with ethical, operational and epistemic aspects.
Anthology ID:
W18-5107
Volume:
Proceedings of the 2nd Workshop on Abusive Language Online (ALW2)
Month:
October
Year:
2018
Address:
Brussels, Belgium
Editors:
Darja Fišer, Ruihong Huang, Vinodkumar Prabhakaran, Rob Voigt, Zeerak Waseem, Jacqueline Wernimont
Venue:
ALW
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
51–59
Language:
URL:
https://aclanthology.org/W18-5107
DOI:
10.18653/v1/W18-5107
Bibkey:
Cite (ACL):
Rachele Sprugnoli, Stefano Menini, Sara Tonelli, Filippo Oncini, and Enrico Piras. 2018. Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying. In Proceedings of the 2nd Workshop on Abusive Language Online (ALW2), pages 51–59, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):
Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying (Sprugnoli et al., ALW 2018)
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PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/W18-5107.pdf
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