Computer-based plagiarism detection methods and tools

2022

Plagiarism is becoming more of a problem in academics. It's made worse by the ease with which a wide range of resources can be found on the internet, as well as the ease with which they can be copied and pasted. It is academic theft since the perpetrator has "taken" and presented the work of others as his or her own. Manual detection of plagiarism by a human being is difficult, imprecise, and time-consuming because it is difficult for anyone to compare their work to current data. Plagiarism is a big problem in higher education, and it can happen on any topic. Plagiarism detection has been studied in many scientific articles, and methods for recognition have been created utilizing the Plagiarism analysis, Authorship identification, and Near-duplicate detection (PAN) Dataset 2009-2011. Verbatim plagiarism, according to the researchers, plagiarism is simply copying and pasting. They then moved on to smart plagiarism, which is more challenging to spot since it might include text change, taking ideas from other academics, and translation into a more difficult-to-manage language. Other studies have found that plagiarism can obscure the scientific content of publications by swapping words, removing or adding material, or reordering or changing the original articles. This article discusses the comparative study of plagiarism detection techniques.

2021

Plagiarism Detection Systems play an important role in revealing instances of a plagiarism act, especially in the educational sector with scientific documents and papers. The idea of plagiarism is that when any content is copied without permission or citation from the author. To detect such activities, it is necessary to have extensive information about plagiarism forms and classes. Thanks to the developed tools and methods it is possible to reveal many types of plagiarism. The development of the Information and Communication Technologies (ICT) and the availability of the online scientific documents lead to the ease of access to these documents. With the availability of many software text editors, plagiarism detections becomes a critical issue. A large number of scientific papers have already investigated in plagiarism detection, and common types of plagiarism detection datasets are being used for recognition systems, WordNet and PAN Datasets have been used since 2009. The researchers have defined the operation of verbatim plagiarism detection as a simple type of copy and paste. Then they have shed the lights on intelligent plagiarism where this process became more difficult to reveal because it may include manipulation of original text, adoption of other researchers' ideas, and translation to other languages, which will be more challenging to handle. Other researchers have expressed that the ways of plagiarism may overshadow the scientific text by replacing, removing, or inserting words, along with shuffling or modifying the original papers. This paper gives an overall definition of plagiarism and works through different papers for the most known types of plagiarism methods and tools.

International Journal of Innovative Knowledge Concept, 2018

Plagiarism is an act or practice of taking someone’s words, ideas or concept in one’s own creation without giving credit to the creator. This practice has been carried out since a long time in academia, music, film, painting, sculpture, and dance; to some extent in every dimensions of creative world. But particularly in academia, this practice has been widely spread over last several decades. Different effort has been taken to counter it. Detection of plagiarize text document with high accuracy is a challenging task. Several methods or techniques are used by plagiarism detecting tools or software. A basic mechanism of textual plagiarism detection is based on matching or comparing the input text to the Reference text with Monolingual or Cross lingual detection. Plagiarize segment with references is provided as output of the process. Analyzing the writing style of the author in different part of a particular document, is the another technique used by plagiarism detecting tools or software. The present paper throws some light on the different types of plagiarism in academia and the corresponding technique to detect that. Last part of this paper states some available detection tools and software used by the different stakeholders in the academia.

2021

Plagiarism detection software has become need of the hour. Academicians need to acknowledge this fact and should take some steps towards this new change towards research ethics and reliability. In this research paper, researchers attempt to cover the concept of plagiarism and analyses some of the plagiarism detection software with their features and functions, like-pricing and availability, user-friendliness, publisher checking, internet checking, language support etc. This evaluation of plagiarism detection software will help to enable researchers and academicians to understand the importance of plagiarism and the available functionalities of plagiarism checking tools.

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...

2014

Being a growing problem, plagiarism is generally defined as literary theft and academic dishonesty in the literature, and it is really has to be prevented and stick to the ethical principles. This paper presents a survey on plagiarism detection systems. Common feature of different detection systems are described.

2014

Modern technologies enable students to interact with each other much easier than in the past. This enables students to help each other with their school assignments, which can quickly lead to plagiarism. The purpose of this diploma thesis was to create an application which simplifies detecting plagiarism. It also has some functionalities which connect to social media websites and can add valuable information in detecting plagiarism. The application is designed in such a way that user can upload student submissions and then check them for plagiarism. This application supports source code plagiarism detection. After submissions have been checked (with external provider-Moss), the user can create visualisations which are based on retrieved data. Currently two types of visualisations are implemented-Graph visualisation of plagiarism and Co-Occurrence Matrix visualisation. The user can then check each plagiate and confirm or reject it. With that he can later create a list of persons which are potential plagiators and invite them on an interview to verify the suspicion of plagiarism. This application supports multiple assignments, so that the user can track each person for plagiarism through all assignments. Connection to social media websites such as Facebook and Twitter is also implemented. With that the user can retrieve information whether two persons are friends on those sites. Also a number of Google results including their names is provided. This leads to conclusion that different functionalities enable the user to get better overview of student work. With discovering plagiates the user can then determine why plagiarism has occurred in the first place and it can help him prevent this from happening in future courses.

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.

Journal of Science & Technology, 2018

Plagiarism is a serious problem not only in Vietnam but also in almost all other countries. Many software packages have been proposed to detect plagiarism on the content of the text. However, most of these packages are from foreign countries, it is difficult to check the documents using Vietnamese language. The plagiarism detection software named BKCheck is designed and developed to solve this problem. This software has the ability to provide the similarity among documents based on user's database. The results are reported as the percentage of similarity among documents. Besides, the software also shows the position of similar sentences or paragraphs, which allows users to easily verify the results. It has been tested and provides reliable results in School of Electronics and Telecommunications (SET), Hanoi University of Science and Technology (HUST).

Ahmad Zaki Abu Bakar Roliana Ibrahim

Academic dishonesty is one of the critical measures to evaluate research papers, theses and students' assignments. Therefore, plagiarism detection is an area of concern for many researchers especially in the academic field. Other fields such as plagiarized news, magazine articles and web resources are also area of concern. In that regard, many detection techniques and tools have been developed to address the problem of plagiarism. Different types of texts require different techniques to detect plagiarism. Documents to be ...