Race is, however, perhaps even more fraught with potential misunderstandings and abuses.
with previous research on race/ethnicity, we used labels obtained by directly surveying Twitter users, rather than distantly supervised geo-located data or perceived race labels, which lead to multiple biases and lower accuracies on real data.