Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection (2022.naacl-main)
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| Challenge: | toxicity annotations are often ignored because of its subjective nature and lack of nuance. |
| Approach: | They examine the effect of annotator identities and beliefs on toxic language annotations by considering posts with three characteristics: anti-Black language, African American English (AAE) dialect, and vulgarity. |
| Outcome: | The findings show strong associations between annotator identity and beliefs and ratings of toxicity. |
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