Citation-based plagiarism detection : detecting disguised and cross-language plagiarism using citation pattern analysis
Author(s)
Bibliographic Information
Citation-based plagiarism detection : detecting disguised and cross-language plagiarism using citation pattern analysis
（Research）
Springer Vieweg, c2014
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"Dissertation Otto-von-Guericke University Magdeburg, Germany, 2013"--T.p. verso
Includes bibliographical references (p. [223]-264) and index
Description and Table of Contents
Description
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.
Table of Contents
Current state of plagiarism detection approaches and systems.- Citation-based Plagiarism Detection.
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