Mozdeh gender detection accuracy and bias for YouTube commenters Mike Thelwall 10.6084/m9.figshare.5688622.v1 https://figshare.com/articles/dataset/Mozdeh_gender_detection_accuracy_and_bias_for_YouTube_commenters/5688622 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.<div><br></div><div>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.</div> 2017-12-11 15:13:53 YouTube Gender detection YouTube commenters YouTube comments Library and Information Studies not elsewhere classified