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Plagiarism detection or content similarity detection is the process of locating instances of plagiarism or copyright infringement within a work or document. The widespread use of computers and the advent of the Internet have made it easier to plagiarize the work of others. [1][2] Detection of plagiarism can be undertaken in a variety of ways.
Python. Platform. Cloud computing. Website. www.undetectable.ai. Undetectable AI (or Undetectable.ai) is an artificial intelligence content detection and modification software designed to identify and alter artificially generated text, such as that produced by large language models. [1][2][3]
General. Targeted at website managers. [2] Checks against ProQuest databases and (public) web pages. [3] Submissions are limited to 1,000 words. Checking against abstract and titles in Medline/PubMed. [4] Submissions are checked against (public) online documents, a (private) shared repository, and the user's own (private) repository.
Copyleaks. Copyleaks is a plagiarism detection platform that uses artificial intelligence (AI) to identify similar and identical content across various formats. [1][2] Copyleaks was founded in 2015 by Alon Yamin and Yehonatan Bitton, software developers working with text analysis, AI, machine learning, and other cutting-edge technologies. [1][2 ...
Turnitin (stylized as turnitin) is an Internet-based similarity detection service run by the American company Turnitin, LLC, a subsidiary of Advance Publications. Founded in 1998, it sells its licenses to universities and high schools who then use the software as a service (SaaS) website to check submitted documents against its database and the ...
PlagScan. PlagScan is a plagiarism detection software, mostly used by academic institutions. PlagScan compares submissions with web documents, journals and internal archives. The software was launched in 2009 by Markus Goldbach and Johannes Knabe of Cologne, Germany. In 2019/2020, PlagScan merged with a similar Swedish company, Urkund, to form ...
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