Plagiarism detection

About: Plagiarism detection is a research topic. Over the lifetime, 1790 publications have been published within this topic receiving 24740 citations.

Comparison between the Stemmer Porter Effect and Nazief-Adriani on the Performance of Winnowing Algorithms for Measuring Plagiarism

Abstract: Current technological developments change physical paper patterns into digital, and this has a very high impact. Positive impact because paper waste is reduced, on the other hand, the rampant copying of digital data raises the amount of plagiarism that is increasing. At present, there are many efforts made by experts to overcome the problem of plagiarism, one of which is by utilizing the winnowing algorithm as a tool to detect plagiarism data. In its development, many optimizing winnowing algorithms used stemming techniques. The most widely used stemmer algorithms include stemmer porter and nazief-adriani. However, there has not been a discussion on the comparison of the effect of performance using stemmer on the winnowing algorithm in measuring the value of plagiarism. So it is necessary to research the effect of stemmer algorithms on winnowing algorithms so that the results of plagiarism detection are more optimal. The results of this study indicate that the effect of nazief-adriani stemmer on the winnowing algorithm is superior to the stemmer porter, only decreasing the detection performance of the 0.28% similarity value while the Porter stemmer is superior in increasing the processing time to 69% faster.

UPPC - Urdu Paraphrase Plagiarism Corpus

Abstract: Paraphrase plagiarism is a significant and widespread problem and research shows that it is hard to detect. Several methods and automatic systems have been proposed to deal with it. However, evaluation and comparison of such solutions is not possible because of the unavailability of benchmark corpora with manual examples of paraphrase plagiarism. To deal with this issue, we present the novel development of a paraphrase plagiarism corpus containing simulated (manually created) examples in the Urdu language - a language widely spoken around the world. This resource is the first of its kind developed for the Urdu language and we believe that it will be a valuable contribution to the evaluation of paraphrase plagiarism detection systems.

Detecting Pervasive Source Code Plagiarism through Dynamic Program Behaviours

Abstract: Source code plagiarism is a persistent problem in undergraduate computer science education. Unfortunately, it is a widespread phenomena with many students plagiarising either because they are unwilling or incapable of completing their own work. Many source code plagiarism detection tools have been proposed to identify suspected cases of source code plagiarism. However, these tools are not resilient to pervasive plagiarism-hiding transformations that significantly change the structure of source code. In this paper, two case studies are presented that explore how resilient current source code plagiarism detection tools are to plagiarism-hiding transformations. Furthermore, an evaluation of a new advanced technique for source code plagiarism detection is presented to show that is it possible to identify pervasive cases of source code plagiarism. The results of this evaluation indicate the technique is robust in its ability to identify the same program after it has been transformed.

Electronic media, creativity and plagiarism

Abstract: This article provides an introduction to plagiarism and the numerous negative aspects associated with it. Some examples from history have also been provided along with their outcomes. There are different types of plagiarism with varying legal and social aspects. The taxonomy of plagiarism is built by classifying it, with respect to the method involved in plagiarism, the form in which it happens or the intention of the plagiarist. The strategies suggested in the literature to avoid plagiarism are organized into individual and organizational levels. Individuals can adopt strategies to build habits of avoiding plagiarism and focus on their original and innovative way of thinking. Similarly, institutions can make policies to cope with plagiarism and hence maintain their reputation. In this paper, the focus is not on mentioning the plagiarism detection methods; rather we believe that building awareness in the people about plagiarism outcomes is more important than teaching them about the different methodologies used for detection. Some students avoid plagiarism detection as if playing a game and it can be only avoided by educating them in ethics.

Plagiarism: a perspective from a case of a northern nigerian university

Abstract: Academic dishonesty, especially plagiarism, is a global problem that has bedevilled the academia. It is regarded as unethical and immoral intellectual thievery that could negatively impact on not only the repute of an academic institution, but the prosperi ty of a society. This study was designed to investigate student’s awareness and indulgence in plagiarism and their perception of punishment towards Plagiarists. Towards this end, a sampling survey approach employing questionnaires and interviews was used to collect data from a total of 200 Gombe State University students (Nigeria). The result of the interviews showed that 90% of students have plagiarized at one time in the past, 68% have included textbooks and other sources in the bibliography of assignment s, out of which 50% had written books that they didn’t even consult. The data from questionnaires showed that the proportion of students whose awareness of plagiarism was partial (63%) and those completely unaware (20%) were higher than those (17%) aware of it. Further, the data showed that the majority of students plagiarize from the Internet (90%) and when asked about whether it would be fair to punish Plagiarists, 42% of students disagreed. Generally, this appears to confirm other reports about the incidence of plagiarism in the academia and pinpoints under awareness as its major cause. Hence, this calls for a campaign to increase students’ awareness of plagiarism and its ethical and moral implications; the need for plagiarism detection tools and developm ent of more strict measures for Plagiarists.