Understanding gender equity in author order assignment
Publication type
journal article
Publication date
2018
Author(s)
Source
Language
English
Keywords
Discipline(s)
Abstract
Academic success and promotion are heavily infuenced by publication record. In many felds, including computer science, multi-author papers are the norm. Evidence from other felds shows that norms for ordering author names can infuence the assignment of credit. We interviewed 38 students and faculty in human-computer interaction (HCI) and machine learning (ML) at two institutions to determine factors related to assignment of author order in collaborative publication in the feld of computer science. Interview outcomes informed metrics for our bibliometric analysis of gender and collaboration in papers published between 1996 and 2016 in three top HCI and ML conferences. Based on our fndings, we make recommendations for assignment of credit in multi-author papers and interpretation of author order, particularly with respect to how these factors afect women. © 2018 Association for Computing Machinery.
Journal
Proceedings of the ACM on Human-Computer Interaction
ISSN
2573-0142
Volume
2
Pagination
1-21