Authors: Julia Yingling*, McGill University
Keywords: Natural language processing, gender, representation,
Session Type: Virtual Paper
Start / End Time: 9:35 AM / 10:50 AM
Room: Virtual 25
Presentation File: No File Uploaded
Women in Geography face structural inequalities and are underrepresented in senior academic positions. Research in other disciplines finds women segregated into particular disciplines and topics, but there has been relatively little research on this phenomenon in Geography despite evidence implying its existence. This paper uses topic modeling to investigate gendered research patterns. The corpus studied is unvetted conference abstracts from annual American Association of Geographers meetings from 1998 to 2018. This is a novel approach that attempts to work around the gatekeeping functions of journal publication that might be influenced by gender bias.