专题地图
主题分析
过程(计算)
计算机科学
情报分析
人工智能
社会学
定性研究
程序设计语言
地图学
地理
社会科学
计算机安全
作者
Muhammad Naeem,Tracy Smith,Lorna Thomas
标识
DOI:10.1177/16094069251333886
摘要
This study sets out how to use generative artificial intelligence (AI) in the six steps of systematic thematic analysis. It leverages AI to address the limitations of traditional thematic analysis. This paper developed prompts (inputs) for ChatGPT (a generative AI chatbot based on a large language model) that are based on many researchers’ discussions and criticisms of qualitative data analysis. The contributions of this paper are twofold. First, it addresses a critical research gap by showcasing ChatGPT prompts for each step of the six steps of systematic thematic analysis, which also addresses researcher training in thematic analysis. Second, it contributes to the development of input to train AI in thematic analysis, including a description of how to familiarize an AI system with the context of a research study and the researcher’s methodological and theoretical considerations; this approach helps to reduce human bias and improves accountability and transparency in thematic analysis.
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