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Plagiarism detection

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


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Journal ArticleDOI
TL;DR: The potential for the implementation of plagiarism detection software to operate as a ‘change artefact’, creating opportunities for a departure from the habits of practice created by the demands of writing for assessment and the potential for a emergence of enclaves of good practice in respect of writing development are discussed.
Abstract: This paper centres on the tensions between the introduction of plagiarism detection software (Turnitin) for student and tutor use at undergraduate level and the aim to promote a developmental approach to writing for assessment at a UK university. Aims to promote developmental models for writing often aim to counteract the effects of the structural organisation of learning and assessment in higher education. This paper will discuss the potential for the implementation of plagiarism detection software to operate as a ‘change artefact’, creating opportunities for a departure from the habits of practice created by the demands of writing for assessment and the potential for the emergence of enclaves of good practice in respect of writing development. Tutor and student qualitative responses, gathered via questionnaires and focus groups, were analysed in order to investigate the effectiveness of this initiative. In this inquiry, plagiarism detection emerges as a dominant theme within regulatory discourses of mal...

13 citations

Journal ArticleDOI
14 Jul 2021
TL;DR: This paper uses Word2vec to transform the words into word vectors which are able to reveal the semantic relationship among different words, and this method can be done more effectively in plagiarism detection.
Abstract: Plagiarism is a common problem in the modern age. With the advance of Internet, it is more and more convenient to access other people’s writings or publications. When someone uses the content of a text in an undesirable way, plagiarism may occur. Plagiarism infringes the intellectual property rights, so it is a serious problem nowadays. However, detecting plagiarism effectively is a challenging work. Traditional methods, like vector space model or bag-of-words, are short of providing a good solution due to the incapability of handling the semantics of words satisfactorily. In this paper, we propose a new method for plagiarism detection. We use Word2vec to transform the words into word vectors which are able to reveal the semantic relationship among different words. Through word vectors, words are clustered into concepts. Then documents and their paragraphs are represented in terms of concepts, and plagiarism detection can be done more effectively. A number of experiments are conducted to demonstrate the good performance of our proposed method.

13 citations

Journal ArticleDOI
TL;DR: Maulik is a software tool which discourages plagiarism as well as motivates the writing skills of people and it is capable of finding plagiarism if root of a word is used or aword is replaced by its synonyms.
Abstract: Objective: The objective of this paper is to present an automated plagiarism detection software tool called Maulik. There are many plagiarism detection tools available for English text. Maulik detects plagiarism in Hindi documents. Method: Maulik divides the text into n-grams and then matches it with the text present in repository as well as with documents present online. Preprocessing techniques such as stop word removal and stemming has been used. The best value of n-gram for finding out the similarity of two Hindi documents has also been found out. Cosine similarity has been used for finding the similarity score. Findings: Similarity score of 96.3 has been achieved which is higher as compared to the existing Hindi plagiarism detection tools such as Plagiarism checker, Plagiarism finder, Plagiarisma, Dupli checker, Quetext. These tools compared only exact matches ignoring the language specific constraints whereas Maulik is capable of finding plagiarism if root of a word is used or a word is replaced by its synonyms. Application: Maulik is a software tool which discourages plagiarism as well as motivates the writing skills of people.

13 citations

Proceedings ArticleDOI
01 Nov 2017
TL;DR: Three main improvements of plagiarism detection systems were proposed: parallelization of similarity detection algorithms, similarity network visualization, and analysis of results using social network analysis.
Abstract: Computing education involves practical training through programming assignments which are frequent targets for plagiarism. For that reason, software systems for source code similarity detection are used to prevent this inappropriate behavior. In this paper, different aspects of source code plagiarism in academic environment are discussed and several improvements of plagiarism detection systems were proposed. Three main improvements of such systems were proposed: parallelization of similarity detection algorithms, similarity network visualization, and analysis of results using social network analysis.

13 citations

01 Jan 2010
TL;DR: The plagiarism detection system described in this paper is aiming to incorporate standard IR technologies for the candidate selection and efficient data structures for the detailed analysis between a suspicious and a candidate document.
Abstract: The plagiarism detection system described in this paper is aiming at bringing external plagiarism detection to the desktop. The main ideas are to incorporate standard IR technologies for the candidate selection and efficient data structures for the detailed analysis between a suspicious and a candidate document. Given that the system so far has only reached prototype status, the first results look promising.

13 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202359
2022126
202183
2020118
2019130
2018125