Racism Sexism Neither Count 1 95 2780 Given the distribution of the labels in <cite>Waseem and Hovy (2016)</cite> and our annotated data set (see Table  2 ), it is to be expected the largest overlap occurs with tweets annotated as negative for hate speech.