Citation-based Plagiarism Detection: Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis

Front Cover
Springer, Jun 26, 2014 - Computers - 350 pages
1 Review
Plagiarism is a problem with far-reaching consequences for the sciences. However, even today’s best software-based systems can only reliably identify copy & paste plagiarism. Disguised plagiarism forms, including paraphrased text, cross-language plagiarism, as well as structural and idea plagiarism often remain undetected. This weakness of current systems results in a large percentage of scientific plagiarism going undetected. Bela Gipp provides an overview of the state-of-the art in plagiarism detection and an analysis of why these approaches fail to detect disguised plagiarism forms. The author proposes Citation-based Plagiarism Detection to address this shortcoming. Unlike character-based approaches, this approach does not rely on text comparisons alone, but analyzes citation patterns within documents to form a language-independent "semantic fingerprint" for similarity assessment. The practicability of Citation-based Plagiarism Detection was proven by its capability to identify so-far non-machine detectable plagiarism in scientific publications.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

1 Introduction
2
2 Plagiarism Detection
9
3 Citationbased Document Similarity
43
4 Citationbased Plagiarism Detection
57
CitePlag
89
6 Quantitative and Qualitative Evaluation
100
7 Summary Future Work
203
References
222
Appendix
265
Index
347
Copyright

Other editions - View all

Common terms and phrases

About the author (2014)

Bela Gipp is a postdoctoral researcher at the University of California, Berkeley.

Bibliographic information