HyPlag is a prototype of a hybrid Plagiarism Prevention and Detection System developed by the Information Science Group at the University of Konstanz. Citation-based Plagiarism Detection (CbPD) approach, which was initially introduced in the doctoral thesis of Bela Gipp. HyPlag can be found here. HTW, Berlin

Compared to existing approaches for plagiarism detection, the presented prototype does not consider textual similarity alone, but uses citation patterns within academic documents as a unique, language-independent fingerprint to identify semantic similarity. This feature for the first time enables automated detection of strongly disguised plagiarism forms, including paraphrases, translated plagiarism, and even idea plagiarism.

The suitability of the CbPD approach in detecting disguised plagiarism was first demonstrated on the plagiarized thesis of former German defense minister Karl- Theodor zu Guttenberg [PDF].

Most recently, the practicability of the CbPD approach was demonstrated by analyzing 185,000 publications in the comprehensive bioscience full-text database PubMed Central. The CbPD algorithms allowed the identification of several plagiarism cases that were non-machine-detectable using today’s prevalent methods. [PDF]. fraudulent medical study .

While the CbPD approach offers unique benefits, it should be seen as a supplement not a replacement to existing software-based plagiarism detection methods, since text-based and citation-based plagiarism detection approaches complement each other.
HyPlag represents a visualization of concepts and algorithms developed by the Information Science Group around the idea of Citation-based Plagiarism Detection (CbPD).

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