A.I. Doesn’t Get Black Twitter — Yet

When researchers evaluated their model against natural language processing tools, such as Google’s SynaxNet (“an open-source neural network framework”), researchers found that the software flagged African-American English as “not English” at a much higher frequency than standard English. In Twitter’s own language identifier, identification based on African-American language was twice as bad, despite the large presence of African-American users on the site.

Source: A.I. Doesn’t Get Black Twitter — Yet | Inverse