Vectors for Counterspeech on Twitter
Lucas Wright, Derek Ruths, Kelly P Dillon, Haji Mohammad Saleem, Susan Benesch
Abstract
A study of conversations on Twitter found that some arguments between strangers led to favorable change in discourse and even in attitudes. The authors propose that such exchanges can be usefully distinguished according to whether individuals or groups take part on each side, since the opportunity for a constructive exchange of views seems to vary accordingly.- Anthology ID:
- W17-3009
- Volume:
- Proceedings of the First Workshop on Abusive Language Online
- Month:
- August
- Year:
- 2017
- Address:
- Vancouver, BC, Canada
- Venue:
- ALW
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 57–62
- Language:
- URL:
- https://aclanthology.org/W17-3009
- DOI:
- 10.18653/v1/W17-3009
- Cite (ACL):
- Lucas Wright, Derek Ruths, Kelly P Dillon, Haji Mohammad Saleem, and Susan Benesch. 2017. Vectors for Counterspeech on Twitter. In Proceedings of the First Workshop on Abusive Language Online, pages 57–62, Vancouver, BC, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Vectors for Counterspeech on Twitter (Wright et al., ALW 2017)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/W17-3009.pdf