Citation-based Plagiarism Detection
Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis
Authors: Gipp, Bela
Free Preview- Publication in the field of technical sciences
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- About this book
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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.
- About the authors
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Bela Gipp is a postdoctoral researcher at the University of California, Berkeley.
- Table of contents (7 chapters)
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Introduction
Pages 1-7
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Plagiarism Detection
Pages 9-42
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Citation-based Document Similarity
Pages 43-55
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Citation-based Plagiarism Detection
Pages 57-88
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Prototype: CitePlag
Pages 89-99
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Table of contents (7 chapters)
- Download Preface 1 PDF (2.3 MB)
- Download Sample pages 1 PDF (3.1 MB)
- Download Table of contents PDF (1 MB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Citation-based Plagiarism Detection
- Book Subtitle
- Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis
- Authors
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- Bela Gipp
- Copyright
- 2014
- Publisher
- Springer Vieweg
- Copyright Holder
- Springer Fachmedien Wiesbaden
- eBook ISBN
- 978-3-658-06394-8
- DOI
- 10.1007/978-3-658-06394-8
- Softcover ISBN
- 978-3-658-06393-1
- Edition Number
- 1
- Number of Pages
- XXVI, 350
- Number of Illustrations
- 70 b/w illustrations
- Topics
