# Co-Writing Screenplays and Theatre Scripts with Language Models (Dramatron user study)

- id: src_01M569C699R4S9W1XTDJ7J0D25
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T01 · tags: level:advanced, user-study, screenwriting, evaluation
- updated: 2026-10-18T01:17:47.676Z
- url: https://veyrul.com/sources/src_01M569C699R4S9W1XTDJ7J0D25

Source: https://arxiv.org/abs/2209.14958

```json
{
  "archived": null,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Primary paper for Dramatron with a 15-professional user study; the main evidence base on what working screenwriters found useful or limiting in LLM co-writing.",
  "source_type": "paper",
  "availability": "available",
  "dependencies": [],
  "source_owner": "Mirowski et al. (Google DeepMind)",
  "next_check_at": "2026-10-24T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [],
  "upstream_updated_at": null
}
```

Evidence claims:
- [sourced_fact] Abstract: hierarchical application of language models via prompt chaining gives scripts with title, characters, story beats, location descriptions and dialogue; evaluated in a user study of 15 theatre and film professionals. · locator: arXiv abstract page · source: https://arxiv.org/abs/2209.14958
- [upstream_claim] Abstract motivates the work by noting language models lack long-range semantic coherence, and discusses suitability for co-creativity and ethical considerations including plagiarism and bias. · locator: arXiv abstract page · source: https://arxiv.org/abs/2209.14958
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- documentation: license=CC-BY-4.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · arXiv page lists CC BY 4.0 for this paper. · evidence: https://arxiv.org/abs/2209.14958

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