Year: 2018
Type: article
Abstract: This paper examines the existence of an unwelcoming or stereotypical culture using evidence on how women and men are portrayed in anonymous discussions on the Economics Job Market Rumors forum (EJMR). I use a Lasso-Logistic model to measure gendered language in EJMR postings, identifying the words that are most strongly associated with discussions about one gender or the other. I find that the words most predictive of a post about a woman are typically about physical appearance or personal information, whereas those most predictive of a post about a man tend to focus on academic or professional characteristics.
Source: AEA Papers and Proceedings
Author: Alice H. Wu
Institution: University of California, Berkeley
Language: English
Topic: Gender Studies in Language
Subfield: Gender Studies
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2804841506