A Framework For Discussing LLMs as Tools for Qualitative Analysis

July 15, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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Authors James Eschrich, Sarah Sterman arXiv ID 2407.11198 Category cs.HC: Human-Computer Interaction Citations 2 Venue arXiv.org Last Checked 4 months ago
Abstract
We review discourses about the philosophy of science in qualitative research and evidence from cognitive linguistics in order to ground a framework for discussing the use of Large Language Models (LLMs) to support the qualitative analysis process. This framework involves asking two key questions: "is the LLM proposing or refuting a qualitative model?" and "is the human researcher checking the LLM's decision-making directly?". We then discuss an implication of this framework: that using LLMs to surface counter-examples for human review represents a promising space for the adoption of LLMs into the qualitative research process. This space is promising because it is a site of overlap between researchers working from a variety of philosophical assumptions, enabling productive cross-paradigm collaboration on tools and practices.
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