Large Language Models, Machine-Assisted Cultural Analytics, and the Agentic Turn

arXiv:2610.12792v1 Announce Type: new 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.

No substantive claim about AI's effect on society.

SOURCE     arXiv cs.CY (Computers and Society) (tier 1)
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DOCUMENT   52343ba7-d4a9-4152-85e2-c15bbcc707b6
           https://arxiv.org/abs/2610.12792
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EVIDENCE   0 extracted excerpts
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MODEL RUN  1 run, methodology 1.0.1
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SCORE      0  (Mixed or uncertain)
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CONFIDENCE 60%