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Citation-based Plagiarism Detection

Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis

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  • © 2014

Overview

  • Publication in the field of technical sciences

  • Includes supplementary material: sn.pub/extras

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Table of contents (7 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Department of Statistics, UC Berkeley, Berkeley, USA

    Bela Gipp

About the author

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

Bibliographic Information

  • Book Title: Citation-based Plagiarism Detection

  • Book Subtitle: Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis

  • Authors: Bela Gipp

  • DOI: https://doi.org/10.1007/978-3-658-06394-8

  • Publisher: Springer Vieweg Wiesbaden

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Fachmedien Wiesbaden 2014

  • Softcover ISBN: 978-3-658-06393-1Published: 14 July 2014

  • eBook ISBN: 978-3-658-06394-8Published: 26 June 2014

  • Edition Number: 1

  • Number of Pages: XXVI, 350

  • Number of Illustrations: 70 b/w illustrations

  • Topics: Artificial Intelligence, Information Systems and Communication Service

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