Past work on bias in hate speech datasets has exclusively focused on finding and removing bias against explicit identity mentions (e.g., woman, atheist, queer; Park and Fung, 2017; Dixon et al., 2018).
our work shows how insensitivity to dialect can lead to discrimination against minorities, even without explicit identity mentions.