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...

This report explains our plagiarism detection method using fuzzy semantic-based string similarity approach. The algorithm was developed through four main stages. First is pre-processing which includes tokenisation, stemming and stop words removing. Second is retrieving a list of candidate documents for each suspicious document using shingling and Jaccard coefficient. Suspicious documents are th...

The task of plagiarism detection is to find passages of text-reuse in a suspicious document. This task is of increasing relevance, since scholars around the world take advantage of the fact that information about nearly any subject can be found on the World Wide Web by reusing existing text instead of writing their own. We organized the Persian PlagDet shared task at PAN 2016 in an effort to pr...

Traditionally, a distinction has been drawn between software and services to detect text-based plagiarism or collusion, and products to detect such practices in computer programs. The Joint Information Services Committee (JISC) even commissioned two separate studies, the Technical Review of Plagiarism Detection Report (Bull et al, 2001) which focused on text-based assignments, and Source Code P...

This paper addresses the text alignment task of 7th International competition on plagiarism detection; PAN 2015. We investigate five submitted corpora and evaluate them based on their characteristics in two ways: manual and automatic evaluation. The results of evaluation show that the most of plagiarism cases in prepared corporahavea rather high quality in term of “rate of obfuscation” alongsid...

This paper reports on research that explores the use of detection software in the fight against plagiarism. The aim of the research was to determine if the true incidence rate of plagiarism could be found for a cohort of Higher Education students. The paper outlines the problems and issues when attempting this. In addition, this report highlights the views of students when such a service is bei...

Automatic text re-use detection is the task of determining whether a text has been produced by considering another as its source. Plagiarism, the unacknowledged re-use of text, is probably the most famous kind of re-use. Favoured by the easy access to information through electronic media, plagiarism has raised in recent years, requesting for the attention of experts in text analysis. Automatic ...

Prevention and detection of plagiarism have formed the basis for many research projects, but student perceptions on plagiarism are arguably not well understood, and this is particularly true in the computing disciplines. This paper considers two aspects of the student experience, (i) the types of plagiaristic activity that students engage in, and (ii) the specific understanding of what plagiari...

Introduction. The large class sizes typical for an undergraduate programming course mean that it is nearly impossible for a human marker to accurately detect plagiarism, particularly if some attempt has been made to hide the copying. While it would be desirable to be able to detect all possible code transformations we believe that there is a minimum level of acceptable performance for the appli...