Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media

Gal Ron, Effi Levi, Odelia Oshri, Shaul Shenhav


Abstract
In this work we propose a novel annotation scheme which factors hate speech into five separate discursive categories. To evaluate our scheme, we construct a corpus of over 2.9M Twitter posts containing hateful expressions directed at Jews, and annotate a sample dataset of 1,050 tweets. We present a statistical analysis of the annotated dataset as well as discuss annotation examples, and conclude by discussing promising directions for future work.
Anthology ID:
2023.woah-1.21
Volume:
The 7th Workshop on Online Abuse and Harms (WOAH)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Yi-ling Chung, Paul R{\"ottger}, Debora Nozza, Zeerak Talat, Aida Mostafazadeh Davani
Venue:
WOAH
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
215–220
Language:
URL:
https://aclanthology.org/2023.woah-1.21
DOI:
10.18653/v1/2023.woah-1.21
Bibkey:
Cite (ACL):
Gal Ron, Effi Levi, Odelia Oshri, and Shaul Shenhav. 2023. Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media. In The 7th Workshop on Online Abuse and Harms (WOAH), pages 215–220, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media (Ron et al., WOAH 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.woah-1.21.pdf