Softwares of Plagiarism Detection

Document Type : Original Article

Author

Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran

Abstract

In recent years, the global network of internet provides easily availability of online source materials and online papers, as a consequence using other’s workings requires just doing “copy/paste”. Lots of plagiarism detection softwares have emerged that help publisher and teachers to determine any existence of plagiarism in their received assignment, articles and books. Furthermore applying this engines by interested authors can specify any possibility of plagiarism in their unpublished works before submitting them. In this work, try to provide briefly introduces for some practical softwares for plagiarism detections and express their provided facilities and weak and strong points to help users of these engines to choose a suitable work according their needs and goals.

Keywords


[1] Bouville, M., Plagiarism: Words and ideas. Science and Engineering Ethics, 2008. 14(3): p. 311-322.
[2] Debnath, J., Plagiarism: A silent epidemic in scientific writing–Reasons, recognition and remedies. Medical Journal Armed Forces India, 2016. 72 (12): p. 164-167.
[3] Lancaster, T. and F. Culwin, Classifications of plagiarism detection engines. Innovation in Teaching and Learning in Information and Computer Sciences, 2005. 4(2): p. 1-16.
[4] Weber-Wulff, D., et al., Plagiarism detection software test 2013. 2015. [5] Ledwith, A. and A. Risquez, Using anti‐plagiarism software to promote academic honesty in the context of peer reviewed assignments. Studies in Higher Education, 2008. 33(4): p. 371-384.
[6] Kuo, J.Y., et al. The study of plagiarism detection for object-oriented programming. in Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on. 2012. IEEE.
[7] Patil, A.V., Plagiarism Software’s Useful to Researchers: Analysis of few Softwares. Asian Journal of Multidisciplinary Studies, 2015. 3(12)
[8] Bast, C.M. and L.B. Samuels, Plagiarism and legal scholarship in the age of information sharing: the need for intellectual honesty. Catholic University Law Review, 2008. 57: p. 777.
[9] Ali, A.M.E.T., H.M.D. Abdulla, and V. Snasel. Overview and Comparison of Plagiarism Detection Tools. in DATESO. 2011. Citeseer.
[10] Zhang, H.Y., CrossCheck: an effective tool for detecting plagiarism. Learned Publishing, 2010. 23(1): p. 9-14.