Abstract
The societal issue of digital hostility has previously attracted a lot of attention. The topic counts an ample body of literature, yet remains prominent and challenging as ever due to its subjective nature. We posit that a better understanding of this problem will require the use of causal inference frameworks. This survey summarises the relevant research that revolves around estimations of causal effects related to online hate speech. Initially, we provide an argumentation as to why re-establishing the exploration of hate speech in causal terms is of the essence. Following that, we give an overview of the leading studies classified with respect to the direction of their outcomes, as well as an outline of all related research, and a summary of open research problems that can influence future work on the topic.- Anthology ID:
- 2021.cinlp-1.6
- Volume:
- Proceedings of the First Workshop on Causal Inference and NLP
- Month:
- November
- Year:
- 2021
- Address:
- Punta Cana, Dominican Republic
- Venue:
- CINLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 74–82
- Language:
- URL:
- https://aclanthology.org/2021.cinlp-1.6
- DOI:
- 10.18653/v1/2021.cinlp-1.6
- Cite (ACL):
- Antigoni Founta and Lucia Specia. 2021. A Survey of Online Hate Speech through the Causal Lens. In Proceedings of the First Workshop on Causal Inference and NLP, pages 74–82, Punta Cana, Dominican Republic. Association for Computational Linguistics.
- Cite (Informal):
- A Survey of Online Hate Speech through the Causal Lens (Founta & Specia, CINLP 2021)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.cinlp-1.6.pdf