THE METHOD FOR DETECTING PLAGIARISM IN A COLLECTION OF DOCUMENTS

Proceedings of the International Scientific Conference - Synthesis 2015, 2015

In today's digital age, with never ending advances of information technology, plagiarism of textual documents is becoming one of leading issues that causes wide concern in higher education and science. The ubiquity of Internet has created a plethora of possibilities for unacknowledged copying and paraphrasing of other people's work. This has grave legal and moral repercussions for the society and seriously undermines its system of values. This paper discusses different types of document plagiarism and examines methods for their detection. It also presents software solutions that implement particular plagiarism detection techniques. Following the overview in the first part, the paper focuses on the analysis of difficulties arising in the plagiarism detection process and points out to open questions that need to be solved. Moreover, it offers some principal suggestions for possible improvements. U današnje digitalno doba, koje odlikuju konstantne inovacije u oblasti informacionih tehnologija, pitanje plagijarizma u tekstualnim dokumentima postaje jedno od glavnih problema u domenu nauke i visokog obrazovanja. Sveprisutnost Interneta pruža mnoštvo mogućnosti za nelegalno kopiranje i parafraziranje radova drugih autora. To sa sobom nosi ozbiljne zakonske i moralne posledice za celokupno društvo i ozbiljno podriva njegov sistem vrednosti. U radu se razmatraju različite vrste plagijarizama u tekstualnim dokumentima kao i metode za njihovo otkrivanje. Takođe, pominju se softverska rešenja koja implementiraju određene tehnike za otkrivanje plagijarizama. Nakon kratkog pregleda u prvom odeljku, rad stavlja naglasak na analizu poteškoća koje mogu nastati u procesu otkrivanja plagijarizma i ukazuje na pitanja kojima bi se trebalo pozabaviti. Štaviše, autori nude načelne predloge i sugestije u cilju unapređenja softvera za otkrivanje plagijarizma.

Business Ethics and Leadership

This article compares plagiarism detection systems according to the list of criteria, compiled from the most challenging and important features for users in Ukrainian higher educational institutions. In addition it describes types of text-based plagiarism and provides an overview of the most common and serious forms of plagiarism around the world and in Ukraine in particular. The authors carried out a comparative analysis of three plagiarism detection systems − Turnitin, Unicheck, eTXT − and highlighted advantages and disadvantages of each one for the use in Ukraine. However, in further studies there might be a need for revising and expanding the list of criteria depending on the subject and the aim of using plagiarism checkers.

Information Fusion, 2015

Plagiarism refers to the act of presenting external words, thoughts, or ideas as one's own, without providing references to the sources from which they were taken. The exponential growth of different digital document sources available on the Web has facilitated the spread of this practice, making the accurate detection of it a crucial task for educational institutions. In this article, we present DOCODE 3.0, a Web system for educational institutions that performs automatic analysis of large quantities of digital documents in relation to their degree of originality. Since plagiarism is a complex problem, frequently tackled at different levels, our system applies algorithms in order to perform an information fusion process from multi data source to all these levels. These algorithms have been successfully tested in the scientific community in solving tasks like the identification of plagiarized passages and the retrieval of source candidates from the Web, among other multi data sources as digital libraries, and have proven to be very effective. We integrate these algorithms into a multi-tier, robust and scalable JEE architecture, allowing many different types of clients with different requirements to consume our services. For users, DOCODE produces a number of visualizations and reports from the different outputs to let teachers and professors gain insights on the originality of the documents they review, allowing them to discover, understand and handle possible plagiarism cases and making it easier and much faster to analyze a vast number of documents. Our experience here is so far focused on the Chilean situation and the Spanish language, offering solutions to Chilean educational institutions in any of their preferred Virtual Learning Environments. However, DOCODE can easily be adapted to increase language coverage.

iadis.net

2019

Nowadays, access to all kinds of information is greatly simplified. The Web contains enormous amounts of documents available for free. One negative consequence of this is the increase of plagiarism, not only in the fields of research and education, but also in journalism etc. Authors incline to plagiarism for various reasons and the Internet makes it extremely easy. A lot of effort and research have been devoted into developing tools that detect plagiarism on the Web. While the majority of these tools worked correctly during our tests (some had better results than the others), we have found room for improvements. First of all, they are designed to work with English language and therefore their accuracy for texts in more complicated languages (Slovak for example) is not satisfactory. Moreover, the presentation of the results to the user was often very unintuitive and limited. We have built an application which provides automated plagiarism detection in Slovak texts among the document...

2013

Plagiarism is an act of copying an idea from any possible source and presenting it without any citations to the origin. Plagiarism has become a serious issue in the Education System today, as it defiles ethical work and degrade the quality of the Education and Research in any university across the globe. The Plagiarism detection System Standard we have developed is a mixture of several well known techniques and algorithms. Also this system can be used as a standard for implementing any plagiarism detection system. The important techniques for this system are Merge Sort, Binary Search and Regular Expressions. Also the essence of ordering these techniques to achieve desirable goal in a short span of time is explained. Use of networking and databases helps in creating a server-client network which is necessary for such systems because the client cannot itself handle huge amount of registered papers in its system. Each and every techniques mentioned above when combined together can make...

IJRCAR, 2014

The current plagiarism detection system was found to be too slow and takes too much time for checking. The matching algorithms are also dependent on the text‟s lexical structure rather than semantic structure. Therefore, it becomes difficult to detect the text paraphrased semantically. The big challenge is to provide plagiarism checking with appropriate algorithm in order to improve the percentage of finding result and time checking. The important question for the plagiarism detection problem in this study is whether it is possible to apply new techniques such as Semantic Role Labeling to handle plagiarism problems for text documents many documents are available on the internet and are easy to access. Due to this availability, users can easily create a new document by copying and pasting from these resources. Sometimes users can reword the plagiarized part by replacing the word with their synonyms. Motivation of the paper is to find the most plagiarism content that should be copied from anywhere identified in the efficient manner. Further it helps to as plagiarism detection process in applications to user or individual publish their journals

Scientific and Technical Information Processing, 2016

A relatively new method for the detection of text plagiarism is proposed based on a search for original sources with an identical or similar list of references. First of all, this is applied to the most difficult to detect forms of translated plagiarism and the plagiarism of ideas. This method successfully proved itself in test studies of groups of foreign authors and is a continuation of our studies. The peculiarity of the approach that is proposed by the authors is the use of multidisciplinary bibliographic databases rather than full-text databases , which are often unavailable due to the high price of subscriptions under Russian conditions. The advantage of their use is the access to the maximum possible number of article references, which significantly extends the base for the search for originals while analyzing suspicious scientific publications. The step-by-step algorithm for addressing a query to the Web of Science and Scopus databases and analysis of the obtained data can be recommended for implementation into systems of plagiarism detection as an additional component.

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Current plagiarism detection systems reliably find instances of copied and moderately altered text, but often fail to detect strong paraphrases, translations, and the reuse of non-textual content and ideas. To improve upon the detection capabilities for such concealed content reuse in academic publications, we make four contributions: i) We present the first plagiarism detection approach that combines the analysis of mathematical expressions, images, citations and text. ii) We describe the implementation of this hybrid detection approach in the research prototype HyPlag. iii) We present novel visualization and interaction concepts to aid users in reviewing content similarities identified by the hybrid detection approach. iv) We demonstrate the usefulness of the hybrid detection and result visualization approaches by using HyPlag to analyze a confirmed case of content reuse present in a retracted research publication.

2020

This study corresponds to a project of a teaching research group, which analyzed the authorship of textual works of eleven students. These studies were developed throughout the subject of Biological Sciences of the stricto sensu graduate course of a private university in the state of San Pablo, Brazil. The main objective of this research was to evaluate the existence of plagiarism to answer the research question: Do postgraduate students commit plagiarism during the courses? Thus, the results of plagiarism verification were analyzed and compared using various software available online in paid or free versions. During this study, we observed that most academic studies of postgraduate students presented some plagiarism characteristic and we still found that the amount of plagiarism identified is different depending on the analysis characteristics of the program used. Despite the limitations of the softwares, their regular use to verify the authorship of a text is essential to identify...