Targets and Aspects in Social Media Hate Speech

Alexander Shvets, Paula Fortuna, Juan Soler, Leo Wanner


Abstract
Mainstream research on hate speech focused so far predominantly on the task of classifying mainly social media posts with respect to predefined typologies of rather coarse-grained hate speech categories. This may be sufficient if the goal is to detect and delete abusive language posts. However, removal is not always possible due to the legislation of a country. Also, there is evidence that hate speech cannot be successfully combated by merely removing hate speech posts; they should be countered by education and counter-narratives. For this purpose, we need to identify (i) who is the target in a given hate speech post, and (ii) what aspects (or characteristics) of the target are attributed to the target in the post. As the first approximation, we propose to adapt a generic state-of-the-art concept extraction model to the hate speech domain. The outcome of the experiments is promising and can serve as inspiration for further work on the task
Anthology ID:
2021.woah-1.19
Volume:
Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)
Month:
August
Year:
2021
Address:
Online
Venue:
WOAH
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
179–190
Language:
URL:
https://aclanthology.org/2021.woah-1.19
DOI:
10.18653/v1/2021.woah-1.19
Bibkey:
Cite (ACL):
Alexander Shvets, Paula Fortuna, Juan Soler, and Leo Wanner. 2021. Targets and Aspects in Social Media Hate Speech. In Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021), pages 179–190, Online. Association for Computational Linguistics.
Cite (Informal):
Targets and Aspects in Social Media Hate Speech (Shvets et al., WOAH 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.woah-1.19.pdf
Video:
 https://aclanthology.org/2021.woah-1.19.mp4
Code
 talnupf/hatespeechtargetsaspects