Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis
Buch, Englisch, 350 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 4846 g
ISBN: 978-3-658-06393-1
Verlag: Springer
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.
Zielgruppe
- Readers interested in the problem of plagiarism in the sciences
- Faculty and students from all disciplines, but especially computer science
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Pädagogik Berufliche Bildung Wissenschaftliches Arbeiten, Studientechnik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Kryptologie, Informationssicherheit
- Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Wissenschaftliches Arbeiten, Studientechnik
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
Weitere Infos & Material
Current state of plagiarism detection approaches and systems.- Citation-based Plagiarism Detection.
