The academic plagiarism and its punishments - a review

Currently there is an increase in the occurrence of plagiarism in varied types of academic texts. Therefore, in agreement with the Brazilian Coordination of Improvement of Higher Education Personnel (CAPES) policies, Brazilian higher education institutions should establish guidelines for the detection and inhibition of academic plagiarism. However, the notion of plagiarism is extremely complex, since the ability of textual construction acquired during education is also developed using others' words. Thus, it is necessary to better know the concept of plagiarism and its implications, as well as the consequences of plagiarism and the punishments that may result from it. Consequently, rules and policies to be established will be better founded in order to address the problem of plagiarism in academic texts in a comprehensive and consistent way, not only to inhibit plagiarism but also to promote education on how is possible to create texts in an original fashion.

Academic plagiarism : yielding to temptation

Scope: Everybody lies. Plagiarism is pervasive because people are used to lying to succeed. While bringing up someone else’s ideas may be an inadvertent case of cryptomnesia, or unintentional plagiarism, academic plagiarism is hardly ever that case. Building on the existing literature, the aim of this paper is twofold. On the one hand, it contributes to the creation of a new framework for the definition of academic plagiarism within the larger scope of academic dishonesty, or academic misconduct; on the other hand, it identifies forms to recognize and discourage it. Aim: Our aim is to provide the basis for a subsequent empirical study on the phenomenon of plagiarism at LABS-ISCAL hoping to help diminish this practice that is deeply rooted in students in general.

Citation-based Plagiarism Detection : applying citation pattern analysis to identify currently non-machine-detectible disguised plagiarism in scientific publications

Magdeburg, Univ., Fak. für Informatik, Diss., 2013

Plagiarism meets paraphrasing: insights for the new generation in automatic plagiarism detection

Although paraphrasing is the linguistic mechanism underlying many plagiarism cases, little attention has been paid to its analysis in the framework of automatic plagiarism detection. Therefore, state-of-the-art plagiarism detectors find it difficult to detect cases of paraphrase plagiarism. In this article, we analyse the relationship between paraphrasing and plagiarism, paying special attention to which paraphrase phenomena underlie acts of plagiarism and which of them are detected by plagiarism detection systems. With this aim in mind, we created the P4P corpus, a new resource which uses a paraphrase typology to annotate a subset of the PAN-PC-10 corpus for automatic plagiarism detection. The results of the Second International Competition on Plagiarism Detection were analysed in the light of this annotation. The presented experiments show that (i) more complex paraphrase phenomena and a high density of paraphrase mechanisms make plagiarism detection more difficult, (ii) lexical substitutions are the paraphrase mechanisms used the most when plagiarising, and (iii) paraphrase mechanisms tend to shorten the plagiarized text. For the first time, the paraphrase mechanisms behind plagiarism have been analysed, providing critical insights for the improvement of automatic plagiarism detection systems.

Regional Workshop on Plagiarism

Regional Workshop conducted by University Library in collaboration with UGC INFLIBNET and Cochin University of Science & Technology, on 9th Feb 2015

Using Turnitin to Deter Plagiarism

This animated PowerPoint shows how the Turnitin system can be used to check students' assignments againast a database of internet sources, journal articles and previous assignments.

A Plagiarism Adventure

This short YouTube video was produced by the University of Bergen to help their students understand the perils of plagiarism, the benefits of academic integrity and the steps they need to take to avoid plagiarism. It's in Norwegian but has subtitles - and is really funny and well-produced. A great way to introduce your students to these ideas.

Student projects: plagiarism and assessment

Within the Information Technology degree programme of the University of Reading, the students undertake a major project in their final year. The module is both a hurdle to an honours degree and significant in terms of assessment weighting. The two year history so far has shown that bad citation and plagiarism are issues, and in one case called for the due referral of a project report. In the light of experience to date, we are focusing firstly on plagiarism prevention, giving generic advice on report writing and citation practice, and secondly on detection. In the longer term, I believe we need to reflect on what capabilities we should be creating in our undergraduates and therefore what and how we should be assessing them.

Plagiarism, contract cheating and final year projects

Presentation on pre-emption, detection and redirection in the context of the contract cheating form of plagiarism.

On Occurrence Of Plagiarism In Published Computer Science Thesis Reports At Swedish Universities

In recent years, it has been observed that software clones and plagiarism are becoming an increased threat for one?s creativity. Clones are the results of copying and using other?s work. According to the Merriam – Webster dictionary, “A clone is one that appears to be a copy of an original form”. It is synonym to duplicate. Clones lead to redundancy of codes, but not all redundant code is a clone.On basis of this background knowledge ,in order to safeguard one?s idea and to avoid intentional code duplication for pretending other?s work as if their owns, software clone detection should be emphasized more. The objective of this paper is to review the methods for clone detection and to apply those methods for finding the extent of plagiarism occurrence among the Swedish Universities in Master level computer science department and to analyze the results.The rest part of the paper, discuss about software plagiarism detection which employs data analysis technique and then statistical analysis of the results.Plagiarism is an act of stealing and passing off the idea?s and words of another person?s as one?s own. Using data analysis technique, samples(Master level computer Science thesis report) were taken from various Swedish universities and processed in Ephorus anti plagiarism software detection. Ephorus gives the percentage of plagiarism for each thesis document, from this results statistical analysis were carried out using Minitab Software.The results gives a very low percentage of Plagiarism extent among the Swedish universities, which concludes that Plagiarism is not a threat to Sweden?s standard of education in computer science.This paper is based on data analysis, intelligence techniques, EPHORUS software plagiarism detection tool and MINITAB statistical software analysis.