arXiv AI
Jul 20
The AI Fiction Paradox
arXiv:2603. 13545v2 Announce Type: replace Abstract: AI development has a fiction dependency problem.
AI Fiction in the Wild
arXiv:2606. 22748v2 Announce Type: replace-cross Abstract: Some professional authors are beginning to use AI tools to help produce their fiction writing.
Related stories
arXiv Computation and Language
Sep 14
The House with a Million Windows: Interactive Fiction for Narrative Restorying
The House with a Million Windows (HWAMW) is an LLM-based interactive fiction system that lets users narrate a story and then view it through a series of AI-generated "windows" that reframe the narrative in various literary styles. The system is grounded in the psychological restorying intervention, aiming to deepen users' exploration of meaning in their personal stories. Empirical results indicate that HWAMW enhances users' sense of narrative identity, and expert reviews suggest it achieves this by facilitating restorying rather than simply generating new content.
arXiv Computation and Language
Sep 15
The Garden of Forking Prompts: How Users Explore Narrative Space in Story Generation
arXiv:2609.14677v1 Announce Type: new Abstract: Large language models (LLMs) have changed the way people engage with stories. Drawing on public chatbot logs, we can see that when users generate stori...
arXiv Computation and Language
Sep 3
How LLMs Build Fictional Worlds: Setting and Narrative Space in AI-Generated Creative Storytelling
The paper investigates how Large Language Models (LLMs) construct fictional worlds, specifically examining setting as a measurable aspect of storyworld creation. By generating 1,000 AI stories per model in English and German and comparing them to human-authored fiction from Project Gutenberg, the authors classify narrative space into five categories—action, perceived, visual, descriptive, and no space—using fine‑tuned BERT classifiers. Results show that human texts mainly use action space, grounding narratives in character-environment interaction, while LLMs consistently overproduce perceived space, focusing on atmosphere and affect, with this pattern varying by model and language.
arXiv AI
Jun 11
Nonslop: A Gamified Experiment in Human-AI Collaborative Writing
arXiv:2606. 12350v1 Announce Type: new Abstract: The rapid proliferation of large language models (LLMs) raises critical questions about human creativity and individual expression in an era of AI-assisted creation.
arXiv AI
Jun 9
I Was Scrolling and Then I Saw a Pregnant Strawberry
arXiv:2606. 09589v1 Announce Type: cross Abstract: AI minidramas (also known as fruit dramas) are short, algorithmically distributed generative AI video series featuring anthropomorphized characters that have recently emerged as a widespread phenomenon on social media platforms.
arXiv Computation and Language
Sep 10
Elsewise: Authoring Open-ended Interactive Narrative with Possibility Space Visualization
arXiv:2601.15295v2 Announce Type: replace-cross Abstract: Interactive narrative (IN) authors craft spaces of divergent narrative possibilities for players to explore, with the player's input determin...
arXiv AI
Aug 14
Novels generated by language models show compressed formal variation
arXiv:2608. 12630v1 Announce Type: cross Abstract: While large language models can generate entire novels, there is little information about the level of formal variation in their output over many generations.
arXiv AI
Aug 25
LITERARYBIGFIVE: Author-Personalized Text Generation in a Unified Interpretable Space
arXiv:2608.23124v1 Announce Type: cross Abstract: Personalized text generation for authors and literary writing is essential for applications such as adaptive writing assistants, creative support too...
Hugging Face Trending Papers
Aug 24
LITERARYBIGFIVE: Author-Personalized Text Generation in a Unified Interpretable Space
Personalized text generation for authors and literary writing is essential for applications such as adaptive writing assistants, creative support tools, and computational literary analysis. However, e...
arXiv AI
Jun 4
Do readers prefer AI-generated Italian short stories?
arXiv:2601. 17363v3 Announce Type: replace-cross Abstract: This study investigates whether readers prefer AI-generated short stories in Italian over one written by a renowned Italian author.
arXiv Computation and Language
Aug 31
CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories
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.