Plagiarism Detection

Comparative Evaluation of Text- and Citation-based Plagiarism Detection Approaches using GuttenPlag

by Joeran Beel

Various approaches for plagiarism detection exist. All are based on more or less sophisticated text analysis methods... more Various approaches for plagiarism detection exist. All are based on more or less sophisticated text analysis methods such as string matching, fingerprinting, style analysis etc. In this paper a new approach called Citation-based Plagiarism Detection is presented. It is suitable for identifying similar and plagiarized documents based on the citations used in the text. In contrast to text based procedures, the presented approach performs significantly better in identifying strong paraphrases, translated plagiarism and some cases of idea plagiarism. It is shown that detection rates can be improved by combining citation-based with text-based plagiarism detection. It is also shown that a large scale crowd-sourcing investigation as done in project GuttenPlag, which combines all other methods, delivered by far the best detection results.

Citation Based Plagiarism Detection – A New Approach to Identify Plagiarized Work Language Independently

by Joeran Beel

Bela Gipp and Joeran Beel. Citation Based Plagiarism Detection – A New Approach to Identify Plagiarized Work Language Independently. In Proceedings of the 21th ACM Conference on Hyptertext and Hypermedia. ACM, June 2010. Downloaded from http://www.sciplore.org

This paper describes a new approach towards detecting plagiarism and scientific documents that have been read but not... more This paper describes a new approach towards detecting plagiarism and scientific documents that have been read but not cited. In contrast to existing approaches, which analyze documents’ words but ignore their citations, this approach is based on citation analysis and allows duplicate and plagiarism detection even if a document has been paraphrased or translated, since the relative position of citations remains similar. Although this approach allows in many cases the detection of plagiarized work that could not be detected automatically with the traditional approaches, it should be considered as an extension rather than a substitute. Whereas the known text analysis methods can detect copied or, to a certain degree, modified passages, the proposed approach requires longer passages with at least two citations in order to create a digital fingerprint.

Plagiarism, Integrity, and Workplace Deviance: A Criterion Study

by Daniel Martin

Martin, D.E., Rao, A., Sloan, L. R. (2009) Plagiarism, Integrity, and Workplace Deviance: A Criterion Study Ethics and Behavior Vol 19, No 1, 36-51

Plagiarism is increasingly evident in business and academia. While links between demographic, personality, and... more Plagiarism is increasingly evident in business and academia. While links between demographic, personality, and situational factors have been found, previous research has not used actual plagiarism behavior as a criterion variable. Previous research on academic dishonesty has consistently used to self-report measures to establish prevalence of dishonest behavior. In this study we use actual plagiarism behavior to establish its prevalence, as well as relationships between integrity-related personal selection and workplace deviance measures. This research covers new ground in two respects: 1) That the academic dishonesty literature is subject to revision using criterion variables to avoid self bias and social desirability issues, 2) We establish the relationship between actual academic dishonesty and potential workplace deviance/white collar crime.

Ethnicity, Acculturation, and Plagiarism: A Criterion Study of Unethical Academic Conduct

by Daniel Martin

Martin, D.E., Rao, A., Sloan, L. R. (2011) Ethnicity, Acculturation, and Plagiarism: A Criterion Study of Unethical Academic Conduct. Human Organization. Vol 70(1)

Ethics have received increased attention from the media and academia in recent years. Most reports suggest that one... more Ethics have received increased attention from the media and academia in recent years. Most reports suggest that one form of unethical conduct – plagiarism – is on the rise in the business schools. Stereotypes of Asian students as being more prone to plagiarize are frequently found in the literature, though not concretely substantiated. This study used a behavioral criterion to examine the relationships among ethnicity, acculturation, and plagiarism in a sample of 158 undergraduate and graduate students. Significant differences in plagiarism behavior were found based on level of student acculturation, but not ethnicity. Considerations and implications for training and managing international students and workers are discussed.

Effective and Efficient Plagiarism Detection

by Thomas Lancaster

PhD Thesis

Student plagiarism, the process where a student uses the words or ideas of another without acknowledgement and for... more Student plagiarism, the process where a student uses the words or ideas of another without acknowledgement and for academic credit, is believed to be increasing. This is of concern since it devalues the awards that academic institutions make and has recently been receiving increased media attention. This thesis presents a process through which similarity within a corpus of documents can be found and verified by a tutor to see if it represents plagiarism. Two key requirements for the process are identified. The first is that it should be effective in that it correctly identifies those documents that are the most similar. The second is that it should be efficient; this means both computationally and in terms of tutor workload.

A number of new ideas are introduced. The literature study reveals that there is no consistency in the terms used to talk about plagiarism and a taxonomy is proposed. It also finds inconsistencies in classifications of detection engines for source code plagiarism. Alternative classifications that do not preclude free text engines are presented. The main shortcoming of existing systems is that although the engines might be effective the systems they support impact too greatly on a tutor's time. Hence they are not efficient.

A four-stage detection process consisting of collection, analysis, verification and investigation is proposed. The greatest need for tool support would be on the labour intensive verification and investigation stages. Here a tutor has to examine two documents that have been flagged during the analysis stage. A visual approach to demonstrate the similarity is recommended. A new graphic known as a similarity visualisation is used that presents pixels whose intensity is generated by the commonality of overlapping word fragments. The visualisations are deployed by an interactive tool named VAST that allows quick verification and investigation of suspect areas of the two submissions.

The similarity visualisation is argued to provide the best representation of similarity between two submissions and an ordering of pairs based on its properties is argued to be effective. Generating visualisations for all possible pairs of a large corpus is considered to not be currently computationally feasible. Instead, this ordering is approximated using less computationally intensive metrics. Using real and synthetic submissions it is argued that the word pairs metric, based upon the proportion of two consecutive words that two submissions have in common, is demonstrated to be the most efficient and effective metric.

Policy, preparation, prevention and punishment-One faculty's holistic approach to minimising plagiarism

by Marcia Devlin

Policy, preparation, and prevention: Proactive minimization of student plagiarism

by Marcia Devlin

In their own words: a qualitative study of the reasons Australian university students plagiarize

by Marcia Devlin

Weeds in the flower garden: An exploration of plagiarism in graduate students' research proposals and its connection to enculturation, ESL, and contextual factors

by Briana Timmerman

Fenêtre sur un jardin tropical: de Stephen King à Marie-Reine de Jaham

by Nathalie Schon

Regards sur la littérature antillaise, textes réunis et présentés par Daniel Delas, Interculturel Francophonies, n° 8, nov.-déc. 2005

Article comparing the French Caribbean author, Marie-Reine de Jaham and Stephen King. Marie-Reine de Jaham has heavily... more Article comparing the French Caribbean author, Marie-Reine de Jaham and Stephen King. Marie-Reine de Jaham has heavily used Stephen King's "Secret Window", translating sentences with slight modifications, to place them in a soap opera context.
What does this plagiarism reveal?

Article comparant l'auteur antillaise Marie-Reine de Jaham et Stephen King. Marie-Reine de Jaham a utilisé de nombreux passages du roman "Secret Window" de Stephen King : les phrases traduites et légèrement modifiées sont placées dans un contexte de soap opera.
Que signifie ce plagiat ?

http://www.fabula.org/actualites/regards-sur-la-litterature-antillaise-interculturel-francophonies-n-8_12851.php

PLAGIARISM AND ITS (DISCIPLINARY) DISCONTENTS

by Lisa Maruca

Rethinking the plagiarism problem

by Rachel Dearlove

Published in the Guardian online, 17 June 2011

Plagiarism in Higher Education: A Case Study with Prospective Academicians

by Tuba Gokmenoglu

with Esra Eret in Procedia - Social and Behavioral Sciences, 2(2), 3303-3307 with Esra Eret in Procedia - Social and Behavioral Sciences, 2(2), 3303-3307

DOCODE-lite: a meta-search engine for document similarity retrieval

by Gaston L'Huillier

In Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II (KES'10), Rossitza Setchi, Ivan Jordanov, Robert J. Howlett, and Lakhmi C. Jain (Eds.). Springer-Verlag, Berlin, Heidelberg, 93-102.

The retrieval of similar documents from large scale datasets has been the one of the main concerns in knowledge... more The retrieval of similar documents from large scale datasets has been the one of the main concerns in knowledge management environments, such as plagiarism detection, news impact analysis, and the matching of ideas within sets of documents. In all of these applications, a light-weight architecture can be considered as fundamental for the large scale of information needed to be analyzed. Furthermore, the relevance score for documents retrieval can be significantly improved using several previously built search engines and taking into account the relevance feedback from users. In this work, we propose a web-services architecture for the retrieval of similar documents from the web. We focus on software engineering to support the manipulation of users’ knowledge into the retrieval algorithm. An human evaluation for the relevance feedback of the system over a built set of documents is presented, showing that the proposed architecture can retrieve similar documents by using the main search engines. In particular, the document plagiarism detection task was evaluated, for which its main results are shown.

Finding inner copy communities using social network analysis

by Gaston L'Huillier

In Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II (KES'10), Rossitza Setchi, Ivan Jordanov, Robert J. Howlett, and Lakhmi C. Jain (Eds.). Springer-Verlag, Berlin, Heidelberg, 581-590.

Nowadays, the technology usage is a massive practice where internet and digital documents are considered as powerful... more Nowadays, the technology usage is a massive practice where internet and digital documents are considered as powerful tools in both professional and personal domains. Although, as useful as they can be in a proper way, wrong practices can appear easily, where the copy & paste or plagiarism phenomenon is not far away from this. Documents’ copy & paste is a world-wide growing practice, and Chile is not the exception. Therefore, all levels of educational fields, from elementary school to graduate students, are directly affected by this. Regarding to this concern, in Chile it’s been decided to tackle the plagiarism problem among students. For this, we apply Social Network Analysis to discover groups of people associated to each other by their documents’ similarity in a plagiarism detection context. Experiments were successfully performed in real reports of graduate students at University of Chile.

FASTDOCODE: Finding Approximated Segments of N-Grams for Document Copy Detection

by Gaston L'Huillier

Lab Report for PAN at CLEF 2010

Nowadays, plagiarism has been presented as one of the main distresses that the information technology revolution has... more Nowadays, plagiarism has been presented as one of the main distresses that the information technology revolution has lead into our society for which using pattern matching algorithms and intelligent data analysis approaches, these practices could be identified. Furthermore, a fast document copy detection algorithm could be used in large scale applications for plagiarism detection in academia, scientific research, patents, knowledge management, among others. Notwithstanding the fact that plagiarism detection has been tackled by exhaustive comparison of source and suspicious documents, approximated algorithms could lead to interesting results. In this paper, an approach for plagiarism detection is presented. Results in a learning dataset of plagiarized documents from the PAN’09, and its further evaluation in the PAN’10 plagiarism detection challenge, showed that the trade-off between speed and performance could improve other plagiarism detection algorithms

Guide for large scale use of Turnitin

by Kevin Brace

single page guide for acadmic staff and adminstrators single page guide for acadmic staff and adminstrators

Electronic Source Code Plagiarism Detection

by Okiemute Omuta

Published in 6th ARCHENG-2010 International Architecture and Engineering Symposium

This paper covers a few of algorithms used in attempt to detect plagiarism among students’ computer program source... more This paper covers a few of algorithms used in attempt to detect plagiarism among students’ computer program source codes electronically, that is, using a computer software program. One algorithm proved to meet most of the requirements with acceptable results and was implemented using Visual Basic .Net programming language.