Coding Agents in the Social Sciences
Anthropic researchers developed a method using large language model agents to evaluate social science coding tasks, finding that they not only match human coding accuracy but help surface ambiguous cases, make reasoning explicit, and reduce costs and time. The approach shows promise for scalable, transparent content analysis in social science research.