Most developed countries have extensive guidelines about research integrity, which reflects a global attempt to harmonize policies for handling research misconduct. For the editors and readers of English-language international journals, the question of plagiarism is of particular concern. Here, we look at the perception of plagiarism among Brazilian scientists. Our results suggest that the conc...

Purpose – Libraries and scholars face more frequent problems with and decisions about plagiarism than in the past. This article aims to look at complex cases where plagiarism may have occurred. Design/methodology/approach – The method is anthropological and looks at specific cases, in which the situations are real but the actors have been fictionalised to protect identities. Findings – Plagiari...

Plagiarism detection is a growing need among educational institutions and solutions for different purposes exist. An important field in this direction is detecting cases of source-code plagiarism. In this paper, we present the tool Kato for supporting the detection of this kind of plagiarism in the area of answer-set programming (ASP). Currently, the tool is implemented for DLV programs but it ...

This paper overviews 15 plagiarism detectors that have been evaluated within the fourth international competition on plagiarism detection at PAN’12. We report on their performances for two sub-tasks of external plagiarism detection: candidate document retrieval and detailed document comparison. Furthermore, we introduce the PAN plagiarism corpus 2012, the TIRA experimentation platform, and the ...

Plagiarism involves reproducing the existing information in modified format or sometimes the original document as it is. This is quiet common among students, researchers and academicians. This has made some strong influence on research community and awareness among academic peoples to prevent such a kind of malpractice. Though there exits some commercial tools to detect plagiarism, still plagia...

Automatic methods of measuring similarity between program code and natural language text pairs have been used for many years to assist humans in detecting plagiarism. For example, over the past thirty years or so, a vast number of approaches have been proposed for detecting likely plagiarism between programs written by Computer Science students. However, more recently, approaches to identifying...

Detecting and combating plagiarism from Web-based sources is a concern for administrators and instructors involved in online distance education. In this paper, we quantify copy-and-paste plagiarism among adult learners in an online geography course offered through Penn State’s World Campus Geographic Information Systems (GIS) certificate program. We also evaluate the effectiveness of an “expect...

The purpose of this study aims at helping students define plagiarism by using a discourse analysis approach within the text of a model paper for advanced students interested in writing research papers. Inexperienced researchers are often tempted to commit several types of plagiarism across disciplines in academia. These intentional and unintentional patterns of plagiarism, which have something ...

We present a hybrid plagiarism detection architecture that operates on the two principal forms of text plagiarism. For order-preserving plagiarism, such as paraphrasing and modified cut-and-paste, it contains a text alignment component that is robust against word choice and phrasing changes that do not alter the basic ordering. And for non-order based plagiarism, such as random phrase reorderin...