This week we published a technical article on how to algorithmically assign a gender label to a name. This is needed for us to understand gender differences in publication patterns of #STEM papers.
Read more here: https://t.co/AaIeBYdEbO
Journal paper: https://t.co/XaseSfwqOG
Full paper by @lusantala and @h_mihaljevic here:
Comparison and benchmark of name-to-gender inference services, https://t.co/BwrgLgavkJ https://t.co/bABZN7dve2
We compared 5 name-to-gender inference services.@Gender_API and @NamSor_com (@gendreapp) will be glad to see that their services are the two best performers on our data set consisting of several thousand scientists' names.
Paper: https://t.co/cnweXJWeQG
https://t.co/AaIeBYdEbO
@ScientistFemale Here's our last article on assessing how well algorithmic methods to assign gender to a name work: https://t.co/cnweXJWeQG
This is a crucial task when analyzing the gender gap.
We've written about our results and their meaning here: https://t.co/AaIeBYdEbO
Many thanks to @Kevbonham @csugimoto @lariviev for sharing data and code on name-based gender inference. Our benchmarks of 5 services based on ~7,000 names have been published. https://t.co/gUlzHZet5Y
Our article has been published today in @PeerJCompSci https://t.co/3MO5pgv4Gy
Thank you so much, @h_mihaljevic. It's always a pleasure to work with you.