"In Minutes Instead of Weeks": Discursive Constructions of Generative AI and Qualitative Data Analysis

被引:7
作者
Paulus, Trena M. [1 ,3 ]
Marone, Vittorio [2 ]
机构
[1] East Tennessee State Univ, Sociol & Anthropol Dept, Johnson City, TN USA
[2] Univ Texas San Antonio, Learning Design & Technol, San Antonio, TX USA
[3] East Tennessee State Univ, POB 70644, Johnson City, TN 37614 USA
关键词
qualitative data analysis software (QDAS); discourse analysis (DA); artificial intelligence (AI); qualitative research;
D O I
10.1177/10778004241250065
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
The use of qualitative data analysis software (QDAS) platforms have always posed a dilemma for researchers, and the integration of generative artificial intelligence (AI) tools are complexifying this relationship even further. The way QDAS companies are positioning this new development will impact how researchers understand what qualitative analysis is and what it could be. Using discourse analysis methods, we explored how ATLAS.ti, NVivo, and MAXQDA websites constructed the relationship between AI-assist and qualitative research methods. We noted four "discursive dilemmas" across the websites: (a) automated insight-generation versus systematic meaning-making; (b) chatting with documents versus analyzing data; (c) high speed versus high engagement; and (d) novelty versus agency. While some level of hyperbolic discourse can be expected from corporations whose goal is to sell products, we argue that the discourses used on these websites may be incompatible with the epistemological foundations of qualitative research.
引用
收藏
页数:8
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