Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English
arXiv: Computers and Society, Volume abs/1707.00061, 2017.
We highlight an important frontier in algorithmic fairness: disparity in the quality of natural language processing algorithms when applied to language from authors of different social groups. For example, current systems sometimes analyze the language of females and minorities more poorly than they do of whites and males. We conduct an e...More
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