SNITCH: A software tool for detecting cut and paste plagiarism
Niezgoda S.; Way T.P.
2007
Proceedings of the Thirty-Seventh SIGCSE Technical Symposium on Computer Science Education
34
10.1145/1121341.1121359
Plagiarism of material from the Internet is a widespread and growing problem. Computer science students, and those in other science and engineering courses, can sometimes get away with a "cut and paste" approach to assembling a paper in part because the expected style of technical writing is less expositional than in liberal arts courses. Detection of cut and paste plagiarism is time-consuming when done by hand, and can be greatly aided by automated software tools. This paper reports on the design of a software tool called SNITCH that implements a fast and accurate plagiarism detection algorithm using the Google Web API. Issues related to plagiarism detection software are discussed and empirical results of a performance and accuracy study are presented. Copyright 2006 ACM.
Automated grading tools; Cheating; Cut and paste plagiarism; Ethics; Plagiarism detection
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Conference paper
All Open Access; Bronze Open Access
Scopus