StoryScope: Investigating idiosyncrasies in AI fictionhttps://arxiv.org/pdf/2604.03136> As AI-generated fiction becomes increasingly prevalent, questions of authorship and originality are becoming central to how written work is evaluated. While most existing work in this space focuses on identifying surfacelevel signatures of AI writing (e.g., word choice, syntactic structure), we ask instead whether AI-generated stories can be distinguished from human ones without relying on stylistic signals, focusing on discourse-level narrative choices such as character agency and chronological discontinuity. We propose STORYSCOPE, a pipeline that automatically induces a fine-grained, interpretable feature space of discourse-level narrative features across 10 dimensions (e.g., plot, agents, temporal structure).#AI #LLM
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