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
- 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)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2023.woah-1.8.pdf