Written language often contains gender stereotypes, typically conveyed unintentionally by the author. Existing methods used to evaluate gender stereotypes in a text compute the difference in the co-occurrence of gender-neutral words with female and male words. 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, including the overall gender stereotype score, the occupation-gender stereotype score, the emotion-gender stereotype score, and the ratio of male words used to female words. We show that writings by females on average have lower gender stereotype scores. We also find that emotion words in writings by males have much lower stereotype scores than the average score of all words, while in writings by females the scores are similar. We study and interpret the distributions of gender stereotype scores of individual words, and how they differ between male and female writings.
Qian REF presented research on the difference between males and females in terms of gender stereotypes.
Gender Stereotypes Differ between Male and Female Writings
ACL
Computer Science