2019/06/19 by Lucy Lu Wang, Gabriel Stanovsky, Luca Weihs +1 · 2 voices · 38 citations
Computer Science · Medicine · Social Sciences · #Authorship Attribution and Profiling #Diversity and Career in Medicine #Parity (physics) #Projection (relational algebra) #Sex and Gender in Healthcare #cs.CY #cs.DL #cs.SI
paper · pdf · doi:10.1145/3430803
published in Communications of the ACM 64(3), 78-84 (Association for Computing Machinery) · 13 pages, 8 figures, 2 tables, 4 appendices; Communications of the ACM
arxiv published 2019/06/19 · openalex created_date 2019/06/27 · arxiv created 2021/01/28 · arxiv updated 2021/01/29 · openalex publication_date 2021/02/22 · openalex updated_date 2026/08/05
A large-scale, up-to-date analysis of Computer Science literature (11.8M papers through 2019) reveals that, if trends from the last 50 years continue, parity between the number of male and female authors will not be reached in this century. In contrast, parity is projected to be reached within two to three decades or may have already been reached in other fields of study like Medicine or Sociology. Our analysis of collaboration trends in Computer Science reveals shifts in the size of the collaboration gap between authors of different perceived genders. The gap is persistent but shrinking, corresponding to a slow increase in the rate of cross-gender collaborations over time. Together, these trends describe a persistent gender gap in the authorship of Computer Science literature that may not close without systematic intervention.