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Citation-based plagiarism detection : detecting disguised and cross-language plagiarism using citation pattern analysis

Citation-based plagiarism detection : detecting disguised and cross-language plagiarism using citation pattern analysis

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GIPP, Bela, 2014. Citation-based plagiarism detection : detecting disguised and cross-language plagiarism using citation pattern analysis [Dissertation]. Magdeburg: Univ.. Wiesbaden:Springer Vieweg. ISBN 978-3-658-06393-1. Available under: doi: 10.1007/978-3-658-06394-8

@phdthesis{Gipp2014Citat-30290, title={Citation-based plagiarism detection : detecting disguised and cross-language plagiarism using citation pattern analysis}, year={2014}, doi={10.1007/978-3-658-06394-8}, address={Magdeburg}, school={Univ.}, author={Gipp, Bela} }

2015-03-16T10:30:40Z Gipp, Bela eng 2015-03-16T10:30:40Z Springer Vieweg 978-3-658-06393-1 Citation-based plagiarism detection : detecting disguised and cross-language plagiarism using citation pattern analysis Wiesbaden 2014 Gipp, Bela 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.

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