The datasets considered here relied upon a range of different annotators, from the authors (Golbeck et al., 2017; Waseem and Hovy, 2016) and crowdworkers Founta et al., 2018) to activists<cite> (Waseem, 2016)</cite> . Even the classifier trained on expert-labeled data<cite> (Waseem, 2016)</cite> flags black-aligned tweets as sexist at almost twice the rate of white-aligned tweets.