Davidson, T. (2024). Start generating: Harnessing generative artificial intelligence for sociological research. Socius: Sociological Research for a Dynamic World, 10. https://doi.org/10.1177/23780231241259651

Davidson (2024) offers an insightful exploration of using generative AI to study text and images in computational, qualitative and experimental sociological research. The author also reflects on challenges, including interpretability, transparency, reproducibility, ethics, privacy and bias.

Hayes, A. S. (2025). “Conversing” with qualitative data: Enhancing qualitative research through large language models (LLMs). International Journal of Qualitative Methods, 24. https://doi.org/10.1177/16094069251322346

Hayes (2025) demonstrates step-by-step how he analysed and interpreted 10 semi-structured interviews by conversing with LLMs. He provides detailed documentation of his prompts and the LLMs’ responses for identifying and coding basic themes, comparative analysis and relating results to theory to create hypotheses.