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An Automated System for Plagiarism Detection Using the Internet Allan Knight, Kevin Almeroth Bruce Bimber
 

Summary: An Automated System for Plagiarism Detection Using the Internet
Allan Knight, Kevin Almeroth Bruce Bimber
Dept of Computer Science Dept of Political Science
University of California University of California
Santa Barbara, CA 93106-5110 Santa Barbara, CA 93106-5110
{aknight, almeroth}@cs.ucsb.edu bimber@polsci.ucsb.edu
Abstract: In this paper we present a framework for plagiarism detection. Rather than exhaustively
or randomly searching sentences in a student paper on the Internet for possible sources of
borrowed ideas in student's text, we take a middle ground. With intelligent selection of sentences
from papers we will show that examples of plagiarism can be found just as frequently and with
fewer queries to Internet search engines. One of our goals is to use this technology to develop
freeware that any instructor or teaching assistant, even modestly non-technical ones, can use to
detect plagiarism in their classes.
Introduction
There is a simple fact that is sending a chill through academia: plagiarism in student work is on the rise. The
Internet is only going to make the problem worse. Plagiarism is defined as presenting, "as new and original an idea
or product derived from an existing source" (Merriam-Webster Online, 2003). Furthermore Plagiarism.org
(Plagiarism.org, 2003) says that there are varying degrees of plagiarism. The range runs from copying someone's
work verbatim to copy someone's ideas without proper citation. Students often do not, or choose not to, understand
the most basic rule: if you borrow from someone's work, you must to give him or her credit. With the Internet

  

Source: Almeroth, Kevin C. - Department of Computer Science, University of California at Santa Barbara

 

Collections: Computer Technologies and Information Sciences