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
Editors:
Zeerak Waseem, Wendy Hui Kyong Chung, Dirk Hovy, Joel Tetreault
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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/W17-3009.pdf