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.
- Current state of plagiarism detection approaches and systems
- Citation-based Plagiarism Detection
- Readers interested in the problem of plagiarism in the sciences
- Faculty and students from all disciplines, but especially computer science
Bela Gipp is a postdoctoral researcher at the University of California, Berkeley.
- DOI https://doi.org/10.1007/978-3-658-06394-8
- Copyright Information Springer Fachmedien Wiesbaden 2014
- Publisher Name Springer Vieweg, Wiesbaden
- eBook Packages Computer Science Computer Science (R0)
- Print ISBN 978-3-658-06393-1
- Online ISBN 978-3-658-06394-8
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