Citation based plagiarism detection: a new approach to identify plagiarized work language independently

Authors:
Bela Gipp;Jöran Beel
Affiliations:
University of California, Berkeley & OvGU, Berkeley, USA;University of California, Berkeley & OvGU, Berkeley, USA
Venue:
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Year:
2010

Citing 1
Cited 2

Computer-based plagiarism detection methods and tools: an overview

CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies

Comparative evaluation of text- and citation-based plagiarism detection approaches using guttenplag

Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Citation pattern matching algorithms for citation-based plagiarism detection: greedy citation tiling, citation chunking and longest common citation sequence

Proceedings of the 11th ACM symposium on Document engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a new approach towards detecting plagiarism and scientific documents that have been read but not cited. In contrast to existing approaches, which analyze documents' words but ignore their citations, this approach is based on citation analysis and allows duplicate and plagiarism detection even if a document has been paraphrased or translated, since the relative position of citations remains similar. Although this approach allows in many cases the detection of plagiarized work that could not be detected automatically with the traditional approaches, it should be considered as an extension rather than a substitute. Whereas the known text analysis methods can detect copied or, to a certain degree, modified passages, the proposed approach requires longer passages with at least two citations in order to create a digital fingerprint.