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LLMs for Survey Text Analysis - A Performance Comparison Between Humans and GPT-5 on Inductive Content Analysis

This study demonstrates that GPT-5.4 can approximate human performance in inductive content analysis of survey responses, achieving agreement levels comparable to human inter-rater reliability and suggesting its potential as a scalable support tool for qualitative research.

Original authors: Leonardo Bergmann, Renata Gheorghiu, Ana Gvritishvili, Alex Mican, Chris Stewart, Topias Tolonen-Weckström

Published 2026-08-25
📖 1 min read☕ Coffee break read

Original authors: Leonardo Bergmann, Renata Gheorghiu, Ana Gvritishvili, Alex Mican, Chris Stewart, Topias Tolonen-Weckström

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

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