Citation-based Plagiarism Detection
Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis
(Sprache: Englisch)
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...
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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.
Inhaltsverzeichnis zu „Citation-based Plagiarism Detection “
Current state of plagiarism detection approaches and systems.- Citation-based Plagiarism Detection.
Autoren-Porträt von Bela Gipp
Bela Gipp is a postdoctoral researcher at the University of California, Berkeley.
Bibliographische Angaben
- Autor: Bela Gipp
- 2014, 2014, XXVI, 350 Seiten, Maße: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3658063939
- ISBN-13: 9783658063931
- Erscheinungsdatum: 14.07.2014
Sprache:
Englisch
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