Language and gender: Computerized text analyses predict gender ratios from organizational descriptions.

ABSTRACT: Previous research has shown that language in job adverts implicitly communicates gender stereotypes, which, in turn, influence employees' perceived fit with the job. In this way, language both reflects and maintains a gender segregated job market. The aim of this study was to test whether, and how, language in organizational descriptions reflects gender segregation in the organizations by the use of computational text analyses. We analyzed large Swedish companies' organizational descriptions from LinkedIn (N = 409), testing whether the language in the organizational descriptions is associated with the organizations' employee gender ratio, and how organizational descriptions for organizations with a majority of women and men employees differ. The statistical analyses showed that lang

SUBMITTER: Stille L 

PROVIDER: S-EPMC9869037 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature