StoryScope: Investigating Idiosyncrasies in AI Fiction
A new study titled 'StoryScope' investigates the differences between AI-generated and human-written fiction. The research focuses on discourse-level narrative choices rather than stylistic elements to distinguish between the two. Findings suggest that narrative construction differences can effectively separate human-authored works from AI-generated stories.
- ▪The study analyzes 10,272 writing prompts from human authors and five language models, resulting in 61,608 stories.
- ▪Narrative features alone achieved a 93.2% macro-F1 score for distinguishing human from AI writing.
- ▪AI-generated stories tend to over-explain themes and have simpler plots compared to the more complex narratives of human authors.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,611 of its stories.
Story provenance
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | arXiv.org |
| Canonical URL | https://arxiv.org/abs/2604.03136 |
| Publication time | Fri, 29 May 2026 08:22:30 +0000 |
| Retrieval time | 2026-05-29T08:34:59.774Z |
| Last seen | 2026-05-29T08:34:59.774Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | X_TQF20BnGeg |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Computation and Language arXiv:2604.03136 (cs) [Submitted on 3 Apr 2026 (v1), last revised 13 Apr 2026 (this version, v4)] Title:StoryScope: Investigating idiosyncrasies in AI fiction Authors:Jenna Russell, Rishanth Rajendhran, Chau Minh Pham, Mohit Iyyer, John Wieting View a PDF of the paper titled StoryScope: Investigating idiosyncrasies in AI fiction, by Jenna Russell and 4 other authors View PDF Abstract:As AI-generated fiction becomes increasingly prevalent, questions of authorship and originality are becoming central to how written work is evaluated.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv.org.
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