Using ChatGPT for Thematic Analysis
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Abstract (arXiv)
The utilisation of AI-driven tools, notably ChatGPT, within academic research is increasingly debated from several perspectives including ease of implementation, and potential enhancements in research efficiency, as against ethical concerns and risks such as biases and unexplained AI operations. This paper explores the use of the GPT model for initial coding in qualitative thematic analysis using a sample of UN policy documents. The primary aim of this study is to contribute to the methodological discussion regarding the integration of AI tools, offering a practical guide to validation for using GPT as a collaborative research assistant. The paper outlines the advantages and limitations of this methodology and suggests strategies to mitigate risks. Emphasising the importance of transparency and reliability in employing GPT within research methodologies, this paper argues for a balanced use of AI in supported thematic analysis, highlighting its potential to elevate research efficacy and outcomes.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 May 2024.
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Citing papers per year: 2025: 3.
3 papers.
- 2025The Widespread Adoption of Large Language Model-Assisted Writing Across Societycited by 51
- 2025Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Studycited by 1
- 2025Multi-LLM Thematic Analysis with Dual Reliability Metrics: Combining Cohen's Kappa and Semantic Similarity for Qualitative Research Validationcited by 0
- 2025Multi-LLM Thematic Analysis with Dual Reliability Metrics: Combining Cohen's Kappa and Semantic Similarity for Qualitative Research Validation23 Dec 2025
- 2025Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study2 May 2025
- 2025The Widespread Adoption of Large Language Model-Assisted Writing Across Society13 Feb 2025