Avoiding Plagiarism for Students: Web Resources

Vaughan Memorial Library, Acadia University. Copyright © 2004-2008. This Tutorial explains why plagiarism is a big deal and provides quiz questions along the way.

Paul Robeson Library, Rutgers University. Learn what constitutes plagiarism from these videos, then test your knowledge on a quiz show, "The Cite is Right!"

This tutorial will help you avoid plagiarism by providing examples that explain how to properly include in one’s own scholarly work information from other sources.

Download Powerpoint from the University of Calgary.

Purdue University Online Writing Lab (OWL). Offers "safe practices" to avoid plagiarism in your research and writing process.

The Glatt Plagiarism Self-Detection Test provides a ROUGH estimate that plagiarism has or has not occurred. Based on the percentage of correct answers, the test results are intended to be used to help you become aware of text which you may have inadvertently plagiarized.

Moss (for a Measure Of Software Similarity) is an automatic system for determining the similarity of programs. To date, the main application of Moss has been in detecting plagiarism in programming classes. Since its development in 1994, Moss has been very effective in this role. The algorithm behind moss is a significant improvement over other cheating detection algorithms (at least, over those known to us).

Plagiarism checker and citation assistant.