Magic Words or Methodical Work? Challenging Conventional Wisdom in LLM-Based Political Text Annotation

arXiv:2603.26898v2 Announce Type: replace-cross Abstract: Political scientists are rapidly adopting large language models (LLMs) for text annotation, yet the sensitivity of annotation results to implementation choices remains poorly understood. Most evaluations test a single model or configuration;