We present an evaluation framework for plagiarism detection.1 The framework provides performance measures that address the specifics of plagiarism detection, and the PAN-PC-10 corpus, which contains 64 558 artificial and 4 000 simulated plagiarism cases, the latter generated via Amazon’s Mechanical Turk. We discuss the construction principles behind the measures and the corpus, and we compare t...

Stevenson, 2004) Key Parts The opportunity to design and deliver short programs on referencing and avoiding plagiarism for transnational UniSA students has confirmed the necessity of combating both the ‘all-plagiarism-is-cheating’ reaction and the ‘just-give-them-a-referencing-guide’ response. The notion of referencing is but the tip of a particularly large and intricate iceberg. Consequently, ...

This work presents results of the ongoing novel research in the area of natural language processing focusing on plagiarism detection, semantic networks and semantic compression. The results demonstrate that the semantic compression is a valuable addition to the existing methods used in plagiary detection. The application of the semantic compression boosts the efficiency of Sentence Hashing Algo...

Detecting plagiarism and similarity between documents written in the same language can be done with high precision with today’s top search systems; there are both free e.g. Plagiarisma (2012), Copyscape (2012) and commercial ones available to use e.g. PlagAware (2012), turnitin (2012). With the spread of foreign language knowledge and the growing number of international students, a new form of ...

Increased access to the Internet has dramatically increased the sources from which students can deliberately or accidentally copy information. This paper discusses our motivation to design, implement, and deploy an Internet based plagiarism detection system, called PAIRwise, to address this growing problem. We give details as to how we detect plagiarism and the various development phases we wen...

Recently, the problem of plagiarism is becoming an important issue in many debates in the fields of Education and Technology. The wide use and availability of electronic resources makes it easy for students, authors and even academic people to access and use any piece of information and embed it into his/ her own work without proper citation. The problem is raising in an exponential manner the ...

Background Plagiarism is common and threatens the integrity of the scientific literature. However, its detection is time consuming and difficult, presenting challenges to editors and publishers who are entrusted with ensuring the integrity of published literature. Methods In this study, the extent of plagiarism in manuscripts submitted to a major specialty medical journal was documented. We m...

BACKGROUND This study was conducted to develop a questionnaire in order to evaluate knowledge, attitude and practice (KAP) of the faculty members and students toward plagiarism. METHODS A KAP study was conducted from June to October 2011 enrolling 390 volunteers anonymously (response rate 96%). The questionnaire included the following four parts: (a) general characteristics like gender, acade...

This paper looks at the background and history of plagiarism and self plagiarism, reviews aspects of academic self plagiarism from the academic, the institution and publisher’s point of view and provides a handy check-list of the current definitions and requirements.

This paper presents a survey of computer algorithms used for the detection of student plagiarism. A summary of several algorithms is provided. Common features of the different plagiarism detection algorithms are described. Ethical and administrative issues involving detected plagiarism are discussed.