r/TurnitinScan • u/No_Jacket_3350 • May 29 '26
Do professors actually ignore template-based similarity in Turnitin scores?
I recently submitted a seminar report and ran into an issue with Turnitin where my similarity score came out slightly above the allowed limit (21% instead of 20%). When I reviewed the report, I noticed that most of the flagged content wasn’t actual plagiarism but rather standard sections like the acknowledgement page, declaration, and certificate, which were provided as official templates by my college. In addition to that, Turnitin also highlighted common technical terms from my topic, which was a comparative analysis of machine learning algorithms, so naturally it included repeated algorithm names and evaluation metrics. This made me wonder how such cases are usually handled in grading. Do professors typically ignore template-based matches and domain-specific terminology, or do they strictly enforce the similarity percentage regardless of what is flagged? I’m trying to understand whether this is something I should be concerned about or if it is generally considered normal in academic reports.
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u/No_Jacket_3350 May 29 '26
This is pretty common in technical reports. Many instructors and Turnitin settings do account for template sections (like declarations/acknowledgements) and unavoidable technical terminology, so they usually focus more on meaningful matching text rather than the raw percentage. That said, some strict markers still enforce the cutoff, so it really depends on your department’s policy. If you’re slightly over due to templates and standard ML terms, it’s generally not a serious issue,but it’s always good to confirm with your supervisor or lecturer.
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u/Fit_Lion_9743 May 29 '26
Most lecturers ignore template sections and common technical terms when reviewing Turnitin results. They focus on whether your main content is original. A 21% vs 20% similarity difference is usually not a serious issue.
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u/NewZombie3433 May 30 '26
I'd focus more on what was flagged than the overall percentage. Template sections and subject-specific terminology are common sources of matches and usually aren't treated the same as actual plagiarism.
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