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Research theme
Qualitative Coding with AI
The Qualitative Coding with AI theme comprises 113 papers in this corpus published between 1998 and 2026. Work here is dominated by Case Study, Mixed Methods, Conceptual. 5 open research gaps have been surfaced in this area.
Methodology profile
- Case Study22 (19%)
- Mixed Methods19 (17%)
- Conceptual15 (13%)
- Design Science13 (12%)
- Qualitative11 (10%)
- Experimental10 (9%)
Research domains
- Data Analysis48 (42%)
- Knowledge Synthesis20 (18%)
- Academic Writing16 (14%)
- Human-AI Collaboration8 (7%)
- Research Integrity2 (2%)
- Research Productivity1 (1%)
Frequent sub-topics
automated scoring of student assessments using transformer models · 1co-researcher participation in arts-based visual data analysis · 1semi-automatic analysis of oral narratives using NLP · 1LLM-assisted thematic analysis of patient experiences in chronic illness management · 1LLM-assisted thematic analysis workflow optimization · 1LLM reliability for qualitative data coding in humanitarian context · 1ChatGPT for thematic analysis in mental health research · 1LLM-assisted thematic analysis for public health survey data · 1
Open research gaps
- The paper identifies that "there is a lack of approaches leveraging their free-text content" from participatory mapping platforms, and calls for development of ethical guardrails for responsible use o
- The authors identify the need for ethical guidelines, development of responsible use practices to prevent oversight neglect, and further advancement in deep learning models to enable discernment of in
- The chapter identifies the need for pedagogical strategies in methods training and outlines future hybrid paradigms for qualitative inquiry that integrate AI technologies while maintaining epistemolog
- Comparative studies between tasks performed by chatbots and 'traditional digital tools' are limited and require additional research
- Very limited number of studies specifically analyzing usability of chatbots for qualitative data analysis
Representative papers
- Using Large Language Models to Support Thematic Analysis in Empirical Legal StudiesJakub Drápal · 2023 · 16 citations
- Leveraging large language models for thematic analysis: a case study in the charity sector2025 · 6 citations
- Differences in User Perception of Artificial Intelligence-Driven Chatbots and Traditional Tools in Qualitative Data AnalysisBoštjan Šumak · 2025 · 3 citations
- Leveraging Large Language Models for Automating Inductive Qualitative Coding: A Comparative Study of Prompt Engineering TechniquesElias Frigui · 2024 · 1 citations
- Developing Theory Through Integrating Human and Machine Pattern RecognitionAron Lindberg · 2020 · 62 citations
- Formally comparing topic models and human-generated qualitative coding of physician mothers’ experiences of workplace discriminationAdam S. Miner · 2023 · 24 citations
- Artificial intelligence, ChatGPT, and dental education: Implications for reflective assignments and qualitative researchMario Brondani · 2024 · 21 citations
- The Ethnographer in the Machine: Everyday Experiences with AI‐enabled Data Analysis2023 · 7 citations