What is a Discourse Graph?
Lines of inquiry this paper opens 24
Research framings built by reading the notes related to this paper — the questions it feeds into.
Does AI text rewriting systematically distort writer intent and preference?- What changes when published text was never written for its readers?
- How does the author-function itself change when AI replaces human authorship?
- Why does AI writing seem more competent and informative than human writing?
- Does AI writing erase markers of non-native English speaker identity?
- What makes readers treat AI-generated text as authoritative?
- What specific distortions does AI writing assistance introduce into text?
- What interventions beyond writer revision could reduce AI distortion in published content?
- What happens when writers lose the three-party audience structure in AI?
- Why does production time matter to the meaning of generated text?
- What signals of individual identity become unreliable in AI-assisted text?
- What structural difference exists between AI posts and human conversational writing?
- Why does AI text enter human reading circuits despite structural disruption?
- What linguistic markers reveal AI text lacks embodied authorship?
- Can adding naturalistic details to templated stories prevent structural exploitation?
- What properties of natural text does artificial text actually eliminate?
- How can structurally different text produce equivalent real-world effects?
- Why does AI-generated content feel flat compared to human commentary?
- Why do AI outputs lack the stable content of written sentences?