Testing of support tools for plagiarism detection

Autor: Salim Razi, Jean Guerrero-Dib, Alla Anohina-Naumeca, Dita Dlabolová, Tomáš Foltýnek, Július Kravjar, Debora Weber-Wulff, Özgür İlhan Çelik, Laima Kamzola
Přispěvatelé: Yabancı Diller Yüksekokulu
Rok vydání: 2020
Předmět:
FOS: Computer and information sciences
Computer science
ComputingMilieux_LEGALASPECTSOFCOMPUTING
02 engineering and technology
Software testing
Plagiarism
Computer Science - Information Retrieval
Education
Task (project management)
Software
Usability testing
020204 information systems
Similarity (psychology)
H.3.7
0202 electrical engineering
electronic engineering
information engineering
Digital Libraries (cs.DL)
Plagiarism detection
Text-matching software
lcsh:LC8-6691
Information retrieval
ComputingMilieux_THECOMPUTINGPROFESSION
lcsh:Special aspects of education
lcsh:T58.5-58.64
lcsh:Information technology
business.industry
05 social sciences
Educational technology
050301 education
Information technology
Computer Science - Digital Libraries
Usability
Computer Science Applications
Test (assessment)
business
0503 education
Information Retrieval (cs.IR)
Plagiarism detection tools
Zdroj: International Journal of Educational Technology in Higher Education, Vol 17, Iss 1, Pp 1-31 (2020)
ISSN: 2365-9440
DOI: 10.1186/s41239-020-00192-4
Popis: Çelik, Özgür (Balikesir Author)
There is a general belief that software must be able to easily do things that humans find difficult. Since finding sources for plagiarism in a text is not an easy task, there is a wide-spread expectation that it must be simple for software to determine if a text is plagiarized or not. Software cannot determine plagiarism, but it can work as a support tool for identifying some text similarity that may constitute plagiarism. But how well do the various systems work? This paper reports on a collaborative test of 15 web-based text-matching systems that can be used when plagiarism is suspected. It was conducted by researchers from seven countries using test material in eight different languages, evaluating the effectiveness of the systems on single-source and multi-source documents. A usability examination was also performed. The sobering results show that although some systems can indeed help identify some plagiarized content, they clearly do not find all plagiarism and at times also identify non-plagiarized material as problematic.
HTW Berlin
Databáze: OpenAIRE
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