Turnitin has a specific, named feature for this — AI paraphrase detection — but it's built to catch a narrower thing than most people assume: AI-generated text that's been run through a paraphrasing tool to dodge detection, not any use of a paraphrasing tool at all.
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Turnitin's own announcement describes its AI paraphrasing detection feature as identifying when "AI paraphrasing tools may have been used to modify AI-generated text" — in other words, it's built for a two-step case: text a model generated first, then run through a tool like Quillbot to reword it and try to slip past AI detection.
That's narrower than "detects Quillbot," full stop. The feature is watching for the fingerprint that AI-generated-then-paraphrased text leaves behind, and highlights those segments separately from plain AI-generated or plain human-written text in the report.
If you write something yourself and then run it through Quillbot to reword it, that's not the AI-generated-then-paraphrased pattern the feature is specifically built to catch — your text didn't start out AI-generated. Whether it still reads as unusual on a report depends more on how heavy the rewrite is, not on this particular feature.
Heavy use of a paraphraser, especially pushed to maximum synonym substitution, tends to produce oddly uniform or slightly unnatural phrasing — which is exactly the kind of pattern general AI-writing detectors are built to notice. So it isn't risk-free, it's just a different detection mechanism than the dedicated paraphrasing feature.
Turnitin's press materials and blog post announcing the feature don't include accuracy figures or false-positive rates for AI paraphrasing detection specifically. Turnitin is explicit that any report is meant to inform a human reviewer's decision, not to serve as automatic proof of misconduct on its own.
Given that gap in published data, treating a flag as one input for a conversation with your instructor — not a verdict — matches how Turnitin itself describes the feature's intended use.
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