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
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