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.
Attracting Talent Through the Elimination of Gender Bias in Job Vacancies: A Preliminary Lexical Approach
BELINGHERI P.;CHIARELLO F.;MARTINI A.;BONACCORSI A.
2019-01-01
Abstract
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.File in questo prodotto:
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