Protecting marginalized communities by mitigating discrimination in toxic language detection

As the harms of online toxic language become more apparent, countering online toxic behavior is an essential application of natural language processing. The first step in managing toxic language risk is identification, but algorithmic approaches have themselves demonstrated bias. Texts containing some demographic identity terms such as gay or Black are more likely to be labeled as toxic in existin...