Unpublished documents submitted through UM’s institutional iThenticate account are stored only in your private account. They are not added to any shared or public database and are not accessible to other users or third parties. That said, researchers working with especially sensitive or contractually restricted material should apply normal care and, if in doubt, consult the Library before uploading.
Yes. Doctoral candidates and supervisors may submit a thesis to check for similarity and, where enabled, AI writing indicators before submission to an Assessment Committee, a publisher, or a repository. Where practical, submit the full thesis as a single document rather than chapter by chapter.
No. The score shows the proportion of text that matches indexed sources. Whether any match represents a problem depends on how that text is used, whether it is attributed correctly, and what is expected in your field. The author is always responsible for the final interpretation.
No. It identifies text with statistical patterns that Turnitin’s model associates with AI-generated output. It can produce false positives, and a high score does not automatically establish a policy violation. Use the result as a prompt for closer editorial and ethical review.
Results are usually delivered within one to several minutes, depending on document length.
No. They use related underlying technology but serve different purposes. iThenticate is for research-related document checking — manuscripts, theses, proposals. Turnitin Originality in Canvas is intended for educational use in the context of courses and student submissions. Using the wrong service for the wrong purpose is not recommended; please contact the Library if you are unsure.