Preprint
How LLMs Distort Our Written Language
Marwa Abdulhai et al., arXiv, 2026
Read the originalRead on October 17, 2026
- What it is
- The authors show that LLMs alter the voice, tone and intended meaning of human writing. The grammar-only test asks the models for corrections alone and still measures changes to meaning.
- How much weight it carries
- A preprint (version 2, August 2026) that I did not find in peer-reviewed form. The grammar-only result comes from prompted experiments, so it shows that changes can happen, not how often they happen in everyday use.
Facts taken from this source
- Even when an LLM is asked only for grammar edits, the same 2026 preprint finds, it still changes the text in a way that significantly alters its semantic meaning.
“even when LLMs are prompted with expert feedback and asked to only make grammar edits, they still change the text in a way that significantly alters its semantic meaning” (Abstract)
- A 2026 preprint reports that LLMs not only alter the voice and tone of human writing but also consistently alter its intended meaning.
“LLMs not only alter the voice and tone of human writing but also consistently alter the intended meaning” (Abstract)
Pages that rest on this source
- AI Cleanup for Dictation: Fillers, Punctuation, RewritesGuide
- AI Voice Notes: From Rambling to Summaries and To-DosGuide
- Does AI dictation change what you said?Question
- How do you turn voice notes into a to-do list?Question
- Is dictated text still your own writing if AI cleans it up?Question
- Does AI cleanup make your writing sound generic?Question