A Rubric to Identify Misogynistic and Sexist Texts from Software Developer Communications-Reference-Cited by-同舟云学术

A Rubric to Identify Misogynistic and Sexist Texts from Software Developer Communications

Published:2021-10-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
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Author:

Sultana Sayma¹,Sarker Jaydeb¹,Bosu Amiangshu¹

Affiliation:

1. Wayne State University, Detroit, Michigan, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3475716.3484189

Reference30 articles.

1. [n.d.]. devRant: A fun community for developers to connect over tech or humor. https://devrant.com [n.d.]. devRant: A fun community for developers to connect over tech or humor. https://devrant.com

2. [n.d.]. Geek Feminism Wiki. [n.d.]. Geek Feminism Wiki.

3. Maria Anzovino Elisabetta Fersini1 and Paolo Rosso. [n.d.]. Automatic Identification and Classification of Misogynistic Language on Twitter. Maria Anzovino Elisabetta Fersini1 and Paolo Rosso. [n.d.]. Automatic Identification and Classification of Misogynistic Language on Twitter.

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