Antipatterns in AI-assisted Qualitative Data Analysis: A Catalog of Temptations and Pitfalls for Software Engineering Researchers
A catalog of antipatterns in AI-assisted QDA - a set of assumptions and practices that initially appear advantageous but ultimately undermine analytical rigor and validity that can serve as a stepping stone in responsible methodological evolution toward principled and meaningful human-AI collaboration in qualitative research.
Rashina Hoda, Carolyn B. Seaman, V. Gomes et al.
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