Technologies to Detect and Prevent Plagiarism and and were created to address the growing problem of web-based plagiarism. The website provides information on the issue of using the Internet to facilitate dishonest academic behavior and describes some technologies that have been designed for the purpose of detecting unoriginal works. Document Source Analysis, a technology invented by about five years ago, works by assigning a unique identifier (called a ‘digital fingerprint’) to every text document. Clients of this proprietary technology submit their works to a database at Every time a new document is submitted, the ‘digital fingerprint’ assigned to that document is used for cross-referencing the new submission with all the other documents in the database. If another document with the same fingerprint is found during this process, then the new submission has clearly been plagiarized. In addition to checking that papers already in the database have not been copied, automated web crawlers are deployed to search the Internet for other works that might prove a new submission to be unoriginal.

The cross-referencing procedure prevents students from simply copying another paper verbatim and handing it in, but there are other less obvious forms of plagiarism that the Document Source Analysis technology is designed to detect. For instance, a student might attempt to copy a paper and simply replace some words and phrases. Another student may write some original material and then integrate an inordinate amount of copied material, with no quotes or citations, into her paper. To prevent these more subtle types of plagiarism, Document Source Analysis employs algorithms to produce ‘originality reports.’ These reports are generated on the basis of a ‘plagiarism index’, which varies according to the amount of unoriginal content contained in a document. If the plagiarism index exceeds a certain threshold value, then the work under review is classified as a plagiarism. Within twenty-four hours of submitting a document to, a client will receive a report assessing the originality of the submitted document. The report contains links to direct comparisons of the submitted text with suspected sources of copied material.  


Glatt Plagiarism Services, Inc.

Glatt Plagiarism Services, Inc. offers a user-end software-based approach to preventing and detecting plagiarism. One software program, called the Glatt Plagiarism Teaching Program (GPTeach), is a tutorial designed to provide students with an understanding of exactly what constitutes plagiarism and instructions on how to avoid it. Another program, the Glatt Plagiarism Screening Program (GPSP), provides a software solution for identifying plagiarized writings. The underlying assumption of this program is that individual writing styles are unique, and that an author should be able to recall her own style of writing better than anyone else. The program works by substituting a “standard size blank” for every fifth word in a paper suspected of plagiarism. The author of the paper is then asked to fill in the missing words. The program issues a “Plagiarism Probability Score” based on factors such as the number of correct responses and the amount of time intervening between responses. Glatt Plagiarism Services, Inc. also offers another plagiarism detection program whose purpose is to assist students in self-detection. This test is very similar to the GPSP, but is much less accurate.  


Listed below are some other sites that provide web-based plagiarism detection services:


Integrigard offers a subscription service and a free service through and, respectively. The subscription service works through a submissions process, in which submitted papers are added to a database for future comparisons. The free service operates similarly, except that writings submitted to are not added to Integrigard’s internal database.  


Essay Verification (EVE2)

EVE2 accepts essays in plain text, Microsoft Word, or Corel Word Perfect format and returns links to web pages from which a student may have plagiarized. EVE2 has been developed to be powerful enough to find plagiarized material while not overwhelming the professor with false links.”