Comparer des méthodes

	Détection de similarité Turnitin et iThenticate	Similarité vs Plagiat : Comprendre la Distinction
Domaine	Éthique de la recherche	Éthique de la recherche
Famille	Process / pipeline	Process / pipeline
Année d'origine	1997	2000s
Auteur d'origine	Turnitin (1997), iThenticate (commercial variant)	Academic integrity frameworks and plagiarism detection software companies
Type	Tool	Concept
Source fondatrice	Turnitin. (2023). Turnitin similarity detection and plagiarism detection technology. Retrieved from https://www.turnitin.com/products/similarity	Hirsch, L. R. (2013). Recognizing plagiarism: A guide for academic professionals. Teaching Professor Blog.
Alias	text-matching software, plagiarism detection software, similarity detection, originality reports	similarity index, turnitin score, similarity percentage
Apparentées	2	4
Résumé	Turnitin and iThenticate are commercial text-matching software tools used by educational institutions and academic journals to screen submissions for potential plagiarism. Turnitin is designed for student assignments; iThenticate is designed for researcher manuscripts. Both tools compare submitted text against billions of sources (web pages, academic databases, previously submitted documents) and generate a Similarity Index showing what percentage of the submission matches existing sources. These tools are screening instruments, not plagiarism detectors—they flag suspicious content for human review.	A critical distinction exists between similarity percentages generated by plagiarism detection software (Turnitin, iThenticate) and an actual plagiarism verdict. A similarity index is a red flag requiring review; it is not a plagiarism determination. High similarity can result from legitimate quotations, references, shared technical language, or common knowledge. Conversely, low similarity does not guarantee absence of plagiarism. Human expert judgment is essential—similarity detection software provides data, not judgment.