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2. Content similarity detection - Wikipedia

   en.wikipedia.org/wiki/Content_similarity_detection

   Citation-based plagiarism detection (CbPD) [26] relies on citation analysis, and is the only approach to plagiarism detection that does not rely on the textual similarity. [27] CbPD examines the citation and reference information in texts to identify similar patterns in the citation sequences. As such, this approach is suitable for scientific ...

3. GPTZero - Wikipedia

   en.wikipedia.org/wiki/GPTZero

   GPTZero was developed by Edward Tian, a Princeton University undergraduate student, and launched online in January 2023 in response to concerns about AI-generated usage in academic plagiarism. [ 8 ] [ 2 ] GPTZero said in May 2023 it raised over 3.5 million dollars in seed funding .

4. Artificial intelligence content detection - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence...

   Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.

5. Turnitin - Wikipedia

   en.wikipedia.org/wiki/Turnitin

   The essays submitted by students are stored in a database used to check for plagiarism. This prevents one student from using another student's paper, by identifying matching text between papers. In addition to student papers, the database contains a copy of the publicly accessible Internet, with the company using a web crawler to continually ...

6. Unicheck - Wikipedia

   en.wikipedia.org/wiki/Unicheck

   Unicheck (previously known as Unplag) is a cloud-based plagiarism detection software that finds similarities, citations and references in texts.. Unicheck is primarily used in K-12 and higher education, and is utilised by more than 400 institutions worldwide.

7. PlagScan - Wikipedia

   en.wikipedia.org/wiki/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.