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Survive the SystemSPLITFree guide

Turnitin Now Shows TWO AI Scores — What the Paraphrasing Split Actually Means

Students are seeing a new Turnitin layout with AI Writing and AI Writing + Paraphrased as separate numbers. Here's what each score means and the 2026 workflow that keeps you safe.

By Akhil Boddu · AfricanTechBro

The discovery

In April 2026, students in the r/turnitin_community subreddit started posting screenshots of a Turnitin AI report that doesn't look like the one most lecturers are used to. Instead of a single "AI-generated" percentage, the new report layout shows two separate numbers side by side:

  • AI Writing — the percentage of sentences flagged as directly AI-generated
  • AI Writing + Paraphrased — a second, usually higher percentage that includes sentences where AI-generated text appears to have been run through a paraphraser

The screenshots are consistent across different institutions. Turnitin has not yet published a press release announcing this as a named product feature, so everything in this guide is based on what students are seeing in their actual reports — not an official spec. What is official: Turnitin's Clarity blog (April 16, 2026) confirms the reporting layer is getting a major rework this year, including narrative playback and multi-submission iteration. A two-score layout fits that direction.

What this means in plain English: Turnitin appears to be scoring your AI use twice. Once for the raw AI writing they detect, and once for AI writing that was paraphrased before submission. The second number is the one most students have not been prepared for.

What the two scores actually mean

Here's the clearest way to think about it.

Score What it's looking for What triggers it
AI Writing Sentences that read like a language model wrote them from scratch Unedited ChatGPT/Claude/Gemini output pasted in
AI Writing + Paraphrased Sentences where AI output appears to have been rewritten — same structure, swapped words QuillBot, Undetectable.ai, Humanize, Grubby, or any tool that takes AI text and "rewords" it

The paraphrased score exists because paraphrasers leave a fingerprint. When a tool like QuillBot rewrites a sentence, it tends to keep the original sentence length, the order of ideas, and the underlying logical structure. It changes individual words. Turnitin's model appears to be trained to spot that pattern — the "shape" of AI stays even when the vocabulary changes.

So if your essay scores AI Writing: 12% and AI Writing + Paraphrased: 47%, that's not two unrelated numbers. The second number is saying: "Another 35% of your sentences look like they started as AI and then got run through a paraphraser." Your lecturer sees both.

graph LR
    A["Your submission"] --> B["Turnitin AI model"]
    B --> C["AI Writing %<br/>(raw AI detection)"]
    B --> D["AI Writing + Paraphrased %<br/>(paraphraser fingerprint)"]
    C --> E["Lecturer sees BOTH numbers"]
    D --> E
    style A fill:#18181B,stroke:#8E8E93,color:#F5F5F7
    style B fill:#18181B,stroke:#FFAA00,color:#F5F5F7
    style C fill:#18181B,stroke:#FF4444,color:#F5F5F7
    style D fill:#18181B,stroke:#FF4444,color:#F5F5F7
    style E fill:#18181B,stroke:#FFAA00,color:#F5F5F7

Watch out: Some students are reporting a low AI Writing score (under 20%) and a much higher AI Writing + Paraphrased score. That combination is the most suspicious pattern to a marker. It reads as "this student knew about AI detection, tried to hide it, and got caught by the second layer."

Why this changes the student playbook

For the past eighteen months, the default student workflow has been some version of:

  1. Generate a draft with ChatGPT
  2. Run it through QuillBot, Undetectable.ai, Humanize, or Grubby
  3. Submit to Turnitin
  4. Get a low AI score
  5. Done

That workflow assumed there was ONE detection event — a single AI percentage that paraphrasing could push below the threshold. With the split layout, there are now two detection events in the same report, and paraphrasing is specifically what the second one is hunting for.

The practical consequence: paraphrasers no longer dilute AI scores. They concentrate them in the column labelled "Paraphrased." The tool that was supposed to be your defence is now the evidence.

This also changes what a "clean" report looks like. A year ago, a 5% AI score was clean. Today, a 5% AI score paired with a 40% paraphrased score is arguably worse than a 30% raw AI score with no paraphrasing flag — because it shows intent to conceal.

The 2026 safe workflow

If you still want to use AI in your study workflow — and you should, because it's a productivity tool — here's the workflow that holds up under the two-score report. This is not a way to cheat. It's a way to use AI the way universities are starting to expect you to.

1. Use AI for research and outlining, not drafting

Ask ChatGPT or Claude to summarise a paper, compare two frameworks, or suggest an essay structure. Copy the OUTLINE into your notes. Do not copy prose. The model's job is to help you think — not to produce sentences you'll submit.

2. Write the actual body in your own voice

Open a blank Google Doc or Word file and write the draft yourself, section by section. This is slower than pasting AI output. It's also the only thing that produces a document with a genuine authorship fingerprint — uneven sentence lengths, natural hedging, your specific examples from your specific lectures.

3. Cite AI as a tool where you used it

If your university allows AI for brainstorming or research (most do — check your policy), declare it. A sentence like "AI tools were used to summarise sources and generate an initial outline. All analysis and writing are my own." at the end of your assignment is a shield. You can't be accused of hiding something you disclosed.

4. Run your own similarity and AI check before submitting

Use Turnitin's draft coaching feature (if your institution provides it) or a trusted pre-check tool — see the CHECK guide for the options. If your pre-check shows a high paraphrased score, the cause is almost always that you pasted AI output and edited lightly. Go back to step 2 for those sections.

5. Keep your drafts and process evidence

Google Docs version history, Word's version history via OneDrive, handwritten notes, research bookmarks, voice memos of you talking through the argument — all of it is evidence that you did the work. If you ever get flagged, this is the folder you open. See the PROOF workflow for the specific setup.

Tip: The goal is not to game the detector. The goal is to produce a document where both scores are low because both scores are honest. A 4% AI / 6% paraphrased report is bulletproof. A 2% AI / 45% paraphrased report is a flag waiting to happen.

What this means at SA universities

Every major South African university contracting Turnitin sees the same report layout. That list includes:

  • University of Cape Town (UCT)
  • Stellenbosch University (SU)
  • University of the Witwatersrand (Wits)
  • University of Pretoria (UP)
  • North-West University (NWU)
  • University of Johannesburg (UJ)
  • Most other public institutions also run Turnitin on some or all submitted work

If your paper gets flagged at any of these institutions, the typical process looks like this:

  1. Lecturer sees the AI report and raises a concern
  2. Matter gets referred to the faculty or departmental academic integrity committee
  3. You're asked to attend a hearing and explain your writing process
  4. Possible outcomes depending on policy and evidence: rewrite with penalty, zero for the assignment, fail the module, formal record on your transcript, or in severe/repeat cases, suspension or expulsion

The hearing usually hinges on whether you can demonstrate process. This is why the draft history in the safe workflow above matters so much. A student who can produce twenty Google Docs revisions, voice memos, and annotated research is in a completely different position from a student who only has the final submission.

What to do if you've already been flagged

If a lecturer has raised the two-score report against you, move fast.

Same day:

  1. Email the lecturer and politely request the full Turnitin AI report — not just the summary. You want to see which specific sentences were flagged in each column. You are entitled to this.
  2. Don't admit anything in that first email. Just ask for the evidence.

Within 48 hours:

  1. Pull together everything you have: Google Docs version history, browser bookmarks from your research, notes from lectures, emails with tutors, chat logs with classmates discussing the topic, anything with a timestamp that predates the submission.
  2. Draft a 500-word defence that walks the reader through your actual process: how you chose the topic, what sources you read, when you started writing, where you used AI (if at all) and how. Be specific. Specificity reads as truth.
  3. Read your university's AI policy and academic integrity policy. Screenshot the exact clauses that apply to you. If your institution doesn't have a formal AI policy, that's significant — see the POLICY breakdown for how to use that.

Before the hearing:

  1. Request in writing what the committee's process is, whether you can bring a representative (often yes), and what evidence they will consider. Get it in email.
  2. Practise your defence out loud. Two or three rehearsals with a friend who asks hostile questions is worth more than twenty rereads of your document.

For the full appeal playbook, comment APPEAL on any ATB video or read the APPEAL guide.

The bigger picture

The split report is a preview of where detection is going. Turnitin's publicly stated direction — repeated in their Q1 2026 Learning Integrity Insights Report and reinforced in the April Clarity blog — is that the era of a single AI percentage is ending. What's coming instead is a layered view: raw AI, paraphrased AI, narrative playback of how the document was typed, and multi-submission comparison across your own past work.

The strategic read for students: writing tools that were safe in 2024 stop being safe in 2026. The durable defence is a real writing process with real evidence. Everything else is temporary cover.

Summary

  • Students are seeing a new Turnitin report with two AI scores: AI Writing and AI Writing + Paraphrased
  • The paraphrased score targets the QuillBot / Undetectable / Humanize workflow directly
  • The "AI draft then paraphrase" playbook now produces a flag in the very column it was meant to avoid
  • Use AI for research and outlining, write the body in your own voice, declare AI use, pre-check before submitting, keep version history
  • If flagged: request the full report, build a 500-word process defence, pull version history, know your university's policy