Process of detecting plagiarism and/or copyright infringement
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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. Human detection is the most traditional form of identifying plagiarism from written work. This can be a lengthy and time-consuming task for the reader[2] and can also result in inconsistencies in how plagiarism is identified within an organization.[3] Text-matching software (TMS), which is also referred to as "plagiarism detection software" or "anti-plagiarism" software, has become widely available, in the form of both commercially available products as well as open-source[examples needed] software. TMS does not actually detect plagiarism per se, but instead finds specific passages of text in one document that match text in another document.
^Culwin, Fintan; Lancaster, Thomas (2001). "Plagiarism, prevention, deterrence and detection". CiteSeerX 10.1.1.107.178. Archived from the original on 18 April 2021. Retrieved 11 November 2022 – via The Higher Education Academy.
^ abBretag, T., & Mahmud, S. (2009). A model for determining student plagiarism: Electronic detection and academic judgement. Journal of University Teaching & Learning Practice, 6(1). Retrieved from http://ro.uow.edu.au/jutlp/vol6/iss1/6
^Macdonald, R., & Carroll, J. (2006). Plagiarism—a complex issue requiring a holistic institutional approach. Assessment & Evaluation in Higher Education, 31(2), 233–245. doi:10.1080/02602930500262536
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