Mozdeh gender detection accuracy and bias for YouTube commenters

2017-12-11T15:13:53Z (GMT) 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.