Mozdeh gender detection accuracy and bias for YouTube commenters
datasetposted on 11.12.2017, 15:13 by Mike Thelwall
This file estimates the accuracy of gender detection by the software Mozdeh, which uses a list of first names recorded at least 90% by males or females in the 1990 US census. The document shows that Mozdeh finds more males than females, introducing a small bias into the results.
The results are based on the names of school age children, probably dominated by the UK and English-speaking countries. Different biases can be expected for other countries and demographics.