Gender prediction

Determine anyone's gender automatically by filling in a Twitter username, first name or an image url.



This demo has been created as part of the UN Global Pulse project on sex-diaggregation of social media accounts together with Leiden University's Centre for Innovation and Data2X. The code behind this demo has been used at scale to classify the gender of more than 50 million Twitter users in Global Pulse's global project on the Sustainable Development Goals. The results of this project can be viewed on http://post2015.unglobalpulse.net. For further information or access to the code, please visit our Github repository: https://github.com/LU-C4i/gender_classifier.

Made possible by:

Centre for Innovation
UN Global Pulse
Leiden University
Data2X
Qualogy
Risa-IT
LCDS