Recently, during the review process of submitted manuscripts, one of our journal reviewers informed me about a case of suspected plagiarism. I thanked the reviewer and checked the degree of copying and found blatant plagiarism. There was unattributed use of large portions of text from another source, including the abstract, materials and methods, and even the tables. According to the research e...

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...

Source code plagiarism is a common occurrence in undergraduate computer science education. In order to identify such cases, many source detection tools have been proposed. A tool evaluates pairs of assignment submissions detect indications plagiarism. However, plagiarising student will commonly apply plagiarism-hiding modifications an attempt evade detection. Subsequently, prior work has implie...

One of the biggest challenges encountered at PAN'11 External Plagiarism Detection was the need for different clusterization methods for different types of plagiarism within the corpus. The existence of sparse sections of highly obfuscated, low obfuscated and translated plagiarism sections alongside with verbatim plagiarism parts, made single pass clusterization inefficient as it produced negati...

Many language-sensitive tools for detecting plagiarism in natural language documents have been developed, particularly for English. Languageindependent tools exist as well, but are considered restrictive as they usually do not take into account specific language features. Detecting plagiarism in Arabic documents is particularly a challenging task because of the complex linguistic structure of A...

Document plagiarism means the unauthorized use of the original document of another author without recognition of the source. With the development of the Internet, the volume of digital information available and easily accessible has increased massively and detecting plagiarism manually is so expensive in terms of both time and effort. Although many copy detection techniques for digital document...

In this paper, we describe our text alignment algorithm that achieved the first rank in Persian Plagdet 2016 competition. The Persian Plagdet corpus includes several obfuscation strategies. Information about the type of obfuscation helps plagiarism detection systems to use their most suitable algorithm for each type. For this purpose, we use SVM neural network for classification of documents ac...

With the arrival of digital era and Internet, the lack of information control provides an incentive for people to freely use any content available to them. Plagiarism occurs when users fail to credit the original owner for the content referred to, and such behavior leads to violation of intellectual property. Two main approaches to plagiarism detection are fingerprinting and term occurrence; ho...

Academically dishonest behavior, such as cheating and plagiarism, presents a challenge on college campuses, exacerbated by new technologies which have increased the ease of academic dishonesty. The first section below provides material for promoting academic integrity in higher education. The second section focuses on resources for preventing and dealing with plagiarism in on-campus and online ...

This paper describes approaches used for the Plagiarism Detection task in PAN 2013 international competition on uncovering plagiarism, authorship, and social software misuse. We present modified three-way search methodology for Source Retrieval subtask and analyse snippet similarity performance. The results show, that presented approach is adaptable in real-world plagiarism situations. For the ...