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Reconsidering Annotator Disagreement about Racist Language: Noise or Signal?
Using annotations of 5188 tweets from 291 annotators, we investigate how annotator perceptions of racism in tweets vary by annotator racial identity and two text features of the tweets: relevant keywords and latent topics identified through structural topic modeling.
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