LLM annotators exhibit model-specific social-desirability biases on CSS tasks that standard prompts fail to correct and that can produce misleading aggregate statistics via accidental cancellation.
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Two Wrongs, No Right: Auditing Social-Desirability Bias in LLM Annotators for Computational Social Science
LLM annotators exhibit model-specific social-desirability biases on CSS tasks that standard prompts fail to correct and that can produce misleading aggregate statistics via accidental cancellation.