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Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language
Counterspeech, i. e., responses to counteract potential harms of hateful speech, has become an increasingly popular solution to address online hate speech without censorship.
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
The perceived toxicity of language can vary based on someone's identity and beliefs, but this variation is often ignored when collecting toxic language datasets, resulting in dataset and model biases.
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