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. Detection of cut and paste plagiarism is timeconsuming when done by hand, and can be greatly aided by automated software tools. 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. Way Applied Computing Technology Laboratory Department of Computing Sciences Villanova University Villanova, PA 19085 ABSTRACT Plagiarism of material from the Internet is a widespread and growing problem. SNITCH: A Software Tool for Detecting Cut and Paste Plagiarism Sebastian Niezgoda and Thomas P. comprehensive approach to dealing with plagiarism which involves setting a policy against it, judiciously enforcing the policy, actively encouraging students to avoid cheating, designing plagiarism-proof assignments, and using whatever tools and techniques are available to detect instances of cheating. Issues related to plagiarism detection software are discussed and empirical results of a performance and accuracy study are presented.

SNITCH: a software tool for detecting cut and paste plagiarism SNITCH: a software tool for detecting cut and paste plagiarism

Snitch software