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Can Large Language Models Code Reality Criteria in Autobiographical Statements? Reliability and Validity of an Artificial Intelligence–Based Tool for Criteria-Based Content Analysis
Objective: Coding for Criteria-Based Content Analysis (CBCA) to differentiate fabricated from experience-based autobiographical statements is slow and depends on trained coders whose agreement is imperfect. We developed the large language model (LLM) based system CBC-AID and evaluate its reliability
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