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“Condescending, rude, assholes”: Framing gender and hostility on Stack Overflow

Abstract:

The disciplines of Gender Studies and Data Science are incompatible. This is conventional wisdom, supported by how many computational studies simplify gender into an immutable binary categorization that appears crude to the critical social researcher. I argue that the characterization of gender norms is context specific and may prove valuable in constructing useful models. I show how gender can be framed in computational studies as a stylized repetition of acts mediated by a social structure,...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.18653/v1/w19-3519

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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
ORCID:
0000-0001-7558-7924
Publisher:
Association for Computational Linguistics Publisher's website
Host title:
Proceedings of the Third Workshop on Abusive Language Online
Journal:
Proceedings of the Third Workshop on Abusive Language Online Journal website
Pages:
172-180
Publication date:
2019-08-01
Event title:
3rd Workshop on Abusive Language Online
Event location:
Florence, Italy
Event website:
https://www.aclweb.org/portal/content/3rd-workshop-abusive-language-online
Event start date:
2019-08-01
Event end date:
2019-08-02
DOI:
Language:
English
Keywords:
Pubs id:
pubs:1054875
UUID:
uuid:c65211a5-0e83-45b9-821f-8dc7a729e56a
Local pid:
pubs:1054875
Source identifiers:
1054875
Deposit date:
2019-09-23

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