Papers by Laura Smith

2 papers
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.
Identifying Locus of Control in Social Media Language (D18-1)

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Challenge: lexical features outperform syntactic features in expressing control in social media . authors communicate internal locus of control when they ascribe control to themselves .
Approach: They examine the role of syntax and semantics in expressing users’ sense of control in annotated Facebook posts.
Outcome: The proposed language outperforms syntactic features in identifying whether or not a user is in control of their circumstances.

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