Large Language Models, Machine-Assisted Cultural Analytics, and the Agentic Turn
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Computer Science > Computers and Society
arXiv:2610.12792 (cs)
[Submitted on 8 Oct 2026]
Title:Large Language Models, Machine-Assisted Cultural Analytics, and the Agentic Turn
Authors:Andres Karjus
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Abstract:Technologies like large language models make it easier to convert cultural material into analyzable variables, while LLM-driven agentic systems extend machine assistance to other parts of the research workflow. Rather than a full how-to guide or an exhaustive review of recent LLM use cases, this chapter looks at some crucial aspects of this new paradigm as well as the bigger picture. I argue that these technologies expand the scale, methodological range, and scope for delegation, while the basic logic by which those measurements support cultural claims remains mostly unchanged.
| Subjects: | Computers and Society (cs.CY); Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.12792 [cs.CY] |
| (or arXiv:2610.12792v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2610.12792
arXiv-issued DOI via DataCite (pending registration)
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View a PDF of the paper titled Large Language Models, Machine-Assisted Cultural Analytics, and the Agentic Turn, by Andres Karjus
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