INQUIRING LINE

When AI helps you draft a comment, how much of it is still your voice, and how often do you keep its version without changing much?

How much of AI-assisted comments remain the writer's own words?

This explores how much of a comment written with AI help still reflects the person posting it: their wording, their opinions, and their voice. It also asks whether writers, readers, or detectors can tell the difference.


This explores how much of an AI-assisted comment still belongs to the person who posts it: their wording, their stance, and how they come across. No study in the collection counts words directly. It does measure something more revealing, which is how little of the writer survives once AI is involved. Writers edited AI-generated paragraphs only 23% of the time, and even the edited versions stayed 96% similar to what the AI wrote Do writers actually edit AI-generated text before publishing?. In practice, the AI's draft is usually what gets published.

You might expect that to be fine if writers only accept drafts that say what they meant. But in a study of 4,503 cases, writers chose the AI version of their own paragraph 63% of the time, and 52% said it reflected their views better than what they had written themselves. That happened even though the AI versions consistently shifted the original stance Do writers actually prefer AI-edited versions of their own text?. So the writer's approval can't settle whether the words are still theirs, because the drift happens without them noticing. What does change their sense of ownership is control. People feel more ownership when they actively steer the generated text. A model personalized to their style doesn't raise that feeling Does user control over AI text shape feelings of ownership?.

Readers, however, pick up on what's been lost. Across 2,939 writers and 11,091 readers, AI assistance shifted all 29 measured traits of how the writer came across. Writers seemed more confident, more extreme, more agreeable, and more privileged Does AI writing assistance change how readers perceive the writer?. They were read as far more educated, wealthier, and more likely to be native English speakers than they were, which the researchers call 'identity laundering' Does AI writing make authors seem more privileged than they are?. The pull runs in one direction. Indian writers using GPT-4o autocomplete drifted toward Western phrasing and cultural references, while American writers got bigger productivity gains Do AI writing assistants push non-Western writers toward Western styles?. The further a writer starts from the model's default voice, the more of that voice gets replaced.

In comment sections specifically, a 680-person experiment found that AI commenting tools produced longer comments and more participation. Readers still judged the comments generic and less authentic, and that impression spread to conversations among people who hadn't used the tools Do AI writing tools improve online discussion or degrade it?. Engagement metrics don't capture any of this. Machine-generated Reddit comments, with their recognizable assistant-style warmth, draw about as much engagement as human ones Does machine-generated text get penalized in online engagement?. Spotting the difference doesn't work well either. Across 25 million Hacker News and Reddit comments, the features that actually separate AI prose from human prose didn't predict which comments got called 'slop' Do AI slop accusations actually detect AI text?. One paper claims heavily rewritten messages also slip past AI detectors, but it shows only that writing styles converge and never tests a detector Do rewrites that hide authorship also fool AI detectors?.

The short answer is less than writers think, and the part that goes missing is the part that marks them as individuals. Wording mostly passes through unedited. Stance and persona drift toward one confident, polished, privileged voice. The writer's own sense of authorship is the least reliable measure of all.


Sources 10 notes

Do writers actually edit AI-generated text before publishing?

Writers edited AI-generated paragraphs only 23% of the time, with edits averaging 96% similarity to the original. This means AI's opinionated and distorted voice propagates with minimal human filtering before publication.

Do writers actually prefer AI-edited versions of their own text?

In a study of 4,503 cases, 63% of writers chose AI-generated text over their own original paragraphs, with 52% claiming the AI version better reflected their views. This preference persisted across three AI models despite evidence that AI versions systematically distort the original stance.

Does user control over AI text shape feelings of ownership?

Study 1 found that greater user control over generated text raised sense of ownership, while personalizing the AI model had no impact on the AI Ghostwriter Effect.

Does AI writing assistance change how readers perceive the writer?

A study of 2,939 writers and 11,091 readers found AI assistance shifted every tested dimension—29 total—toward extremism, confidence, quality, agreeableness, and perceived privilege. Distortions were statistically significant and directional, not random noise.

Does AI writing make authors seem more privileged than they are?

Writers using AI assistance were perceived as significantly more educated (5.3×), higher-income (4.4×), native English speakers (4.1×), and white (1.1×). This demographic distortion compresses distinctive voice markers into a generic privileged persona, creating what researchers call identity laundering.

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Do AI writing assistants push non-Western writers toward Western styles?

A 118-person controlled experiment found that GPT-4o autocomplete pulled Indian essays toward Western phrasing and cultural references while delivering larger productivity gains to American participants, suggesting cultural distance from the model's training data creates unequal service and homogenizing pressure.

Do AI writing tools improve online discussion or degrade it?

In a 680-participant experiment, AI-assisted commenting tools produced longer comments and higher participation rates, yet readers perceived the content as generic and less authentic. The perceived decline in quality extended even to conversations among users who did not use the AI tools.

Does machine-generated text get penalized in online engagement?

A Reddit measurement found that machine-generated comments convey assistant-style warmth and status-giving, yet receive engagement levels often indistinguishable from human-authored content and sometimes higher, suggesting the stylistic difference carries no penalty.

Do AI slop accusations actually detect AI text?

A matched-control study of 25 million Hacker News and Reddit comments found that prose features distinguishing AI from human text do not predict which comments get accused as slop. The label functions as social regulation rather than accurate screening.

Do rewrites that hide authorship also fool AI detectors?

The paper asserts that rewritten messages evade AI-text detectors but provides no detector experiments, only attribution results showing stylistic convergence. The double erasure claim needs direct empirical testing.

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