From manual to machine: assessing the efficacy of large language models in content analysis

Abstract

This study compares the performance of Large Language Models (LLMs) and human coders in predicting relational uncertainty from textual data. Employing various LLMs (gpt-4.0-turbo, gpt-3.5-turbo, Cl...