Generative Neural Networks in Empirical Sociological Research: Opportunities and Limitations
Abstract and keywords
Abstract (English):
The article analyzes the use of artificial intelligence algorithms in the professional practices of empirical sociologists, in particular, it explores the possibilities and limitations of using generative neural networks for developing research program, processing, and analyzing data. The article proposes a typology of neural networks used in research and data analysis, and highlights key practices for their use. It also provides insights into the specific possibilities and limitations of incorporating generative neural networks into the professional practices of empirical sociologists.

Keywords:
empirical sociology, generative neural networks, large language models, artificial intelligence
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