Gender Bias Detection

We are working on studying methods to detect gendered language automatically using unsupervised learning methods, such as variational auto-encoders. The findings of our first paper on this (Hoyle et al., 2019) have been reported by 75+ international news outlets, including Forbes.

Currently, we’re interested in expanding the above to a cross-lingual study, as well as researching the relationship between gender bias and attitudes towards entities on social media as part of a project funded by DFF.


Studying to what degree the language we use is gender-specific has long been an area of interest in socio-linguistics. Studies have …