Detecting Early Signs of Cyberbullying in Social Media

Niloofar Safi Samghabadi, Adrián Pastor López Monroy, Thamar Solorio


Abstract
Nowadays, the amount of users’ activities on online social media is growing dramatically. These online environments provide excellent opportunities for communication and knowledge sharing. However, some people misuse them to harass and bully others online, a phenomenon called cyberbullying. Due to its harmful effects on people, especially youth, it is imperative to detect cyberbullying as early as possible before it causes irreparable damages to victims. Most of the relevant available resources are not explicitly designed to detect cyberbullying, but related content, such as hate speech and abusive language. In this paper, we propose a new approach to create a corpus suited for cyberbullying detection. We also investigate the possibility of designing a framework to monitor the streams of users’ online messages and detects the signs of cyberbullying as early as possible.
Anthology ID:
2020.trac-1.23
Volume:
Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
LREC | TRAC | WS
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
144–149
Language:
English
URL:
https://aclanthology.org/2020.trac-1.23
DOI:
Bibkey:
Cite (ACL):
Niloofar Safi Samghabadi, Adrián Pastor López Monroy, and Thamar Solorio. 2020. Detecting Early Signs of Cyberbullying in Social Media. In Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying, pages 144–149, Marseille, France. European Language Resources Association (ELRA).
Cite (Informal):
Detecting Early Signs of Cyberbullying in Social Media (Safi Samghabadi et al., TRAC 2020)
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PDF:
https://aclanthology.org/2020.trac-1.23.pdf