Thematic Analysis through Artificial Intelligence (AI)

48Citations
Citations of this article
169Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Thematic analysis, a well-enforced qualitative analytic method, is likely to continue evolving with the adoption of AI technologies. This how-to report does not delve into the details of thematic analysis itself, as there are ample existing studies on the topic. Instead, it acknowledges the potential impacts, dynamics, and pitfalls of AI in thematic analysis while offering valuable advice, particularly for novice analysts, on how to incorporate and document AI tools in each phase of a thematic analysis. The author underscores the importance of not allowing AI to overshadow the analyst's critical evaluative and interpretive skills but instead supporting the use of AI as an aid in thematic analysis, enhancing the depth and breadth of analysis, provided certain criteria are adhered to. This approach ensures that AI serves as a complementary tool, augmenting rather than replacing human analytical inquiry.

Cite

CITATION STYLE

APA

Christou, P. A. (2024). Thematic Analysis through Artificial Intelligence (AI). Qualitative Report, 29(2), 560–576. https://doi.org/10.46743/2160-3715/2024.7046

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free