Table 3 shows that for tweets containing the word "n*gga", classifiers trained on Waseem and Hovy (2016) and<cite> Waseem (2016)</cite> are both predict black-aligned tweets to be instances of sexism approximately 1.5 times as often as white-aligned tweets.