Student plagiarism is an ever-increasing problem for academic institutions. A growing number of students are using material from the Web in their submissions, without properly acknowledging the source. This paper reviews the need for widespread plagiarism detection systems and evaluates available Web based detection services. Four services are discussed: the Measure of Software Similarity (MOSS...

To detect plagiarism of any form, it is essential to have broad knowledge of its possible forms and classes, and existence of various tools and systems for its detection. Based on impact or severity of damages, plagiarism may occur in an article or in any production in a number of ways. This survey presents a taxonomy of various plagiarism forms and include discussion on each of these forms. Ov...

OBJECTIVES To assess undergraduate and postgraduate pharmacy students' perceptions of plagiarism and academic honesty. METHODS A questionnaire was administered to undergraduate and postgraduate pharmacy students to determine their levels of awareness of university policy concerning academic honesty; attitudes to plagiarism by rating the acceptability of a range of plagiarizing and cheating pr...

AIM To determine the prevalence of plagiarism among medical students in writing essays. METHODS During two academic years, 198 second year medical students attending Medical Informatics course wrote an essay on one of four offered articles. Two of the source articles were available in an electronic form and two in printed form. Two (one electronic and one paper article) were considered less c...

Purpose This research work informs about plagiarism and the consequences of anti-plagiarism services such as Turnitin.com, iThenticate, and PlagiarismDetect.com, in detecting the most recent cheatings in academic and other writings. Design/methodology/approach The most important approach is plagiarism prevention and finding proper solutions for detecting more complex kinds of plagiarisms throug...

The aim of this experiment is to present an easy way to compare fragments of texts in order to detect (supposed) results of copy & paste operations between articles in the domain of Natural Language Processing, including Speech Processing (NLP). The search space of the comparisons is a corpus labelled as NLP4NLP, which includes 34 different sources and gathers a large part of the publications i...

Projects play an important role in most Computer Science courses. Plagiarism in projects, how to discourage it and how to detect it have always been of concern to instructors. In this paper, we propose a technique for designing projects to detect and prevent plagiarism, called polymorphic projects. We also catalog several other techniques currently used to address plagiarism in projects.

This updated and revised paper gives an overview of my PhD research. It focuses on two newly developed approaches. Citation Proximity Analysis (CPA) allows the identification of related work by analyzing the co-occurrence of citations within documents. In contrast to co-citation analysis various factors, such as the proximity of citations to each other, are taken into account. The second approa...

The task of plagiarism detection entails two main steps, suspicious candidate retrieval and pairwise document similarity analysis also called detailed analysis. In this paper we focus on the second subtask. We will report our monolingual plagiarism detection system which is used to process the Persian plagiarism corpus for the task of pairwise document similarity. To retrieve plagiarised passag...