Daniel Enriquez
David Feil-Seifer
ABSTRACT
Plagiarism detection is an important tool in modern academia. With growing class sizes and the modernization of the internet, there have been more ways that allow plagiarism to excel in modern culture. Methods such as patchwriting – where an individual may copy, paste and possibly modify the content – and commissioned writing – where an individual hires another person to do the work for them – are not considered by modern plagiarism detectors. This work aims to give instructors a way to identify and detect plagiarism in student writing that addresses these difficult-to-detect issues using artificial intelligence. We introduce a tool to aid instructors in detecting plagiarism that adapts to each students’ individual writing style as they submit writing assignments. This work incorporates artificial intelligence and natural language processing that identifies the ways in which a student writes based on a collection of their essays. The proposed Authorship Verification for Hired Plagiarism Detection (AVHPD) tool includes document storage, a clean user interface, and intuitive break-downs of how a given writing sample differs from prior samples.
- Christopher J.C. Burges. 2010. Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour. Springer US, Boston, MA, 53–82. https://doi.org/10.1007/978-0-387-09823-4_4Google Scholar
Cross Ref
- Ricardo J. G. B. Campello, Davoud Moulavi, and Joerg Sander. 2013. Density-Based Clustering Based on Hierarchical Density Estimates. In Advances in Knowledge Discovery and Data Mining, Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, and Guandong Xu (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 160–172.Google Scholar
- Simon Coghlan, Tim Miller, and Jeannie Paterson. 2020. Good proctor or” Big Brother”? AI Ethics and Online Exam Supervision Technologies. arXiv preprint arXiv:2011.07647(2020).Google Scholar
- Coventry University. 2022 [Online]. British Academic Written English Corpus (BAWE). https://www.coventry.ac.uk/bawe/Google Scholar
- Phillip Dawson, Wendy Sutherland-Smith, and Mark Ricksen. 2020. Can software improve marker accuracy at detecting contract cheating? A pilot study of the Turnitin authorship investigate alpha. Assessment & Evaluation in Higher Education 45, 4 (2020), 473–482. https://doi.org/10.1080/02602938.2019.1662884 arXiv:https://doi.org/10.1080/02602938.2019.1662884Google ScholarCross Ref
- Gage Christensen and Daniel Enriquez and Hayden Donovan and Noah Wong and Jared Lam. 2022 [Online]. Authorship Verification for Hired Plagiarism Detection. https://github.com/grchristensen/avpdGoogle Scholar
- GrammarlyInc. 2022 [Online]. Grammarly, Free Online Writing Service. https://www.gramarly.comGoogle Scholar
- Virginia Gray. 2017. Principal component analysis: methods, applications and technology. Nova Science Publishers, Incorporated.Google Scholar
- Alexander Hamilton, James Madison, and James Jay. 1788. The Federalist Papers.Google Scholar
- Karl O. Jones. 2008. Practical Issues for Academics Using the Turnitin Plagiarism Detection Software. In Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing (Gabrovo, Bulgaria) (CompSysTech ’08). Association for Computing Machinery, New York, NY, USA, Article 50. https://doi.org/10.1145/1500879.1500935Google ScholarDigital Library
- Bradley Kjell, W.Addison Woods, and Ophir Frieder. 1994. Discrimination of authorship using visualization. Information Processing & Management 30, 1 (1994), 141–150. https://doi.org/10.1016/0306-4573(94)90029-9Google ScholarDigital Library
- Moshe Koppel and Jonathan Schler. 2004. Authorship Verification as a One-Class Classification Problem. In Proceedings of the Twenty-First International Conference on Machine Learning (Banff, Alberta, Canada) (ICML ’04). Association for Computing Machinery, New York, NY, USA, 62. https://doi.org/10.1145/1015330.1015448Google ScholarDigital Library
- James O’Shea. 2022 [Online]. Function word lists | Semantic Similarity. https://semanticsimilarity.wordpress.com/function-word-lists/Google Scholar
- Proctorio. 2022 [Online]. Proctorio: Securing the integrity of your online assessments. | Proctorio. https://proctorio.com/Google Scholar
- PSAL. 2022 [Online]. JStylo-Anonymouth - Authorship Attribution and Authorship Anonymization Framework. https://github.com/psal/jstyloGoogle Scholar
- Quetext. 2022 [Online]. Original Writing, Made Easy | Quetext. https://www.quetext.com/Google Scholar
- Efstathios Stamatatos. 2008. A Survey of Modern Authorship Attribution Methods. 60 (December 16, 2008 2008), 538–556. https://doi.org/10.1002/asi.21001Google ScholarCross Ref
- Wendy Sutherland-Smith and Rodney Carr. 2005. Turnitin.com: Teachers’ perspectives of anti-plagiarism software in raising issues of educational integrity. Journal of University Teaching and Learning Practice 2, 3 (2005), 106–114. https://doi.org/10.53761/1.2.3.10Google ScholarCross Ref
- TurnitinLLC. 2022 [Online]. Contract Cheating | Turnitin. https://www.turnitin.com/products/originality/contract-cheatingGoogle Scholar
- TurnitinLLC. 2022 [Online]. Empower students to do their best, original work. https://www.turnitin.comGoogle Scholar
Index Terms
- Authorship Verification for Hired Plagiarism Detection
Recommendations
Computer-based plagiarism detection methods and tools: an overview
CompSysTech '07: Proceedings of the 2007 international conference on Computer systems and technologiesThe paper is dedicated to plagiarism problem. The ways how to reduce plagiarism: both: plagiarism prevention and plagiarism detection are discussed. Widely used plagiarism detection methods are described. The most known plagiarism detection tools are ...
Obfuscating plagiarism detection: vulnerabilities and solutions
CompSysTech '11: Proceedings of the 12th International Conference on Computer Systems and TechnologiesPlagiarism among student term papers is considered as a major problem these days. To successfully identify this kind of cheating we have to perform check on submitted papers for plagiarism. This has to be done with appropriate plagiarism detection ...
Electronic media, creativity and plagiarism
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 ...
Comments