Gender Stereotypes Differ between Male and Female Writings

Yusu Qian


Abstract
Written language often contains gender stereotypes, typically conveyed unintentionally by the author. To study the difference in how female and male authors portray people of different genders, we quantitatively evaluate and analyze the gender stereotypes in their writings on two different datasets and from multiple aspects. We show that writings by females on average have lower gender stereotype scores. We plan to study and interpret the distributions of gender stereotype scores of individual words, and how they differ between male and female writings. We also plan on using more datasets over the past century to study how the stereotypes in female and male writings evolved over time.
Anthology ID:
P19-2007
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
Month:
July
Year:
2019
Address:
Florence, Italy
Editors:
Fernando Alva-Manchego, Eunsol Choi, Daniel Khashabi
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
48–53
Language:
URL:
https://aclanthology.org/P19-2007
DOI:
10.18653/v1/P19-2007
Bibkey:
Cite (ACL):
Yusu Qian. 2019. Gender Stereotypes Differ between Male and Female Writings. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 48–53, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Gender Stereotypes Differ between Male and Female Writings (Qian, ACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/P19-2007.pdf