Disparities in authorship and citations across gender can have substantial adverse
consequences not just on the disadvantaged genders, but also on the field of study as a …

Natural Language Processing (NLP) systems are at the heart of many critical automated
decision-making systems making crucial recommendations about our future world. However …

Language can be used as a means of reproducing and enforcing harmful stereotypes and
biases and has been analysed as such in numerous research. In this paper, we present a …

The interplay between an academic's gender and their scholarly output is a riveting topic at
the intersection of scientometrics, data science, gender studies, and sociology. Its effects can …

Lack of gender diversity in the Artificial Intelligence (AI) workforce is raising growing
concerns, but the evidence base about this problem has until now been based on statistics …

We examine gender bias in media by tallying the number of men and women quoted in
news text, using the Gender Gap Tracker, a software system we developed specifically for …

Current attempts to address the shortfall of female researchers in science, technology,
engineering, and mathematics (STEM) have not yet succeeded, despite other academic …

Gender disparities appear to be decreasing in academia according to a number of metrics,
such as grant funding, hiring, acceptance at scholarly journals, and productivity, and it might …

In the field of neuroscience, despite the fact that the proportion of peer-reviewed publications
authored by women has increased in recent decades, the proportion of citations of women …

Women comprise a minority of the Science, Technology, Engineering, Mathematics, and
Medicine (STEMM) workforce. Quantifying the gender gap may identify fields that will not …