An LLM-assisted workflow scales thematic analysis of millions of online posts and interviews, yielding themes that align and diverge from authoritative policy reports and serving as rough input for policy researchers.
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LLM-agent simulations of a Voat-like forum reproduce user counts, root posts, daily activity, and topics but produce more comments, higher overall toxicity, larger diffuse cores, and less repeated interactions than real data.
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How can LLMs Support Policy Researchers? Evaluating an LLM-Assisted Workflow for Large-Scale Unstructured Data
An LLM-assisted workflow scales thematic analysis of millions of online posts and interviews, yielding themes that align and diverge from authoritative policy reports and serving as rough input for policy researchers.
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Towards Operational Validation of LLM-Agent Social Simulations: A Replicated Study of a Reddit-like Technology Forum
LLM-agent simulations of a Voat-like forum reproduce user counts, root posts, daily activity, and topics but produce more comments, higher overall toxicity, larger diffuse cores, and less repeated interactions than real data.