How LLMs Distort Our Written Language
Quick summary
arXiv:2603.18161v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are used by over a billion people globally, most often to assist with writing. In this work, we demonstrate that LLMs not only alter the voice and tone of human writing but also consistently alter the intended meaning. First, we conduct a human user study to understand how people actually interact with LLMs when using them for writing. Our findings reveal that extensive LLM use led to a nearly 70% increase in essays that remained neutral in answering the topic question. Significantly more heavy LLM users rep
Key takeaways
- arXiv:2603.18161v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are used by over a billion people globally, most often to assist with writing.
- In this work, we demonstrate that LLMs not only alter the voice and tone of human writing but also consistently alter the intended meaning.
- First, we conduct a human user study to understand how people actually interact with LLMs when using them for writing.
Why it matters
“How LLMs Distort Our Written Language” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.
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