Relationality and Offensive Speech: A Research Agenda

Razvan Amironesei, Mark Diaz


Abstract
We draw from the framework of relationality as a pathway for modeling social relations to address gaps in text classification, generally, and offensive language classification, specifically. We use minoritized language, such as queer speech, to motivate a need for understanding and modeling social relations–both among individuals and among their social communities. We then point to socio-ethical style as a research area for inferring and measuring social relations as well as propose additional questions to structure future research on operationalizing social context.
Anthology ID:
2023.woah-1.8
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:
85–95
Language:
URL:
https://aclanthology.org/2023.woah-1.8
DOI:
10.18653/v1/2023.woah-1.8
Bibkey:
Cite (ACL):
Razvan Amironesei and Mark Diaz. 2023. Relationality and Offensive Speech: A Research Agenda. In The 7th Workshop on Online Abuse and Harms (WOAH), pages 85–95, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Relationality and Offensive Speech: A Research Agenda (Amironesei & Diaz, WOAH 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.woah-1.8.pdf