arXiv Computation and Language By Anneliese Brei, Abhisheik Sharma, Nicholas Sanaie, Lu Wang, Snigdha Chaturvedi

CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories

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The paper investigates how characters in large language model (LLM)-generated stories compare to those in human-written stories. Using narratological definitions, it analyzes eight complex character dimensions—including stylization and wholeness—to automatically categorize characters in both LLM and human texts. The study then contrasts these categories to answer whether LLMs produce similar and varied character portrayals as human authors.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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