Language can often be considered gender-specific (Weatherall, 2005). In the workplace, this can lead to biases in recruitment processes (Bem & Bem, 1973; Gaucher et al., 2011), creating barriers for women to access male-dominated industries. Using Text Mining, Semantic and Social Network Analysis, we present a novel approach to address this.
|Titolo:||Attracting Talent Through the Elimination of Gender Bias in Job Vacancies: A Preliminary Lexical Approach|
|Anno del prodotto:||2019|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|