Examining Racial Bias in an Online Abuse Corpus with Structural Topic Modeling

We use structural topic modeling to examine racial bias in data collected to train models to detect hate speech and abusive language in social media posts. We augment the abusive language dataset by adding an additional feature indicating the predicted probability of the tweet being written in African-American English... (read more)

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