Testing of Support Tools for Plagiarism Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F20%3A43918119" target="_blank" >RIV/62156489:43110/20:43918119 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1186/s41239-020-00192-4" target="_blank" >https://doi.org/10.1186/s41239-020-00192-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s41239-020-00192-4" target="_blank" >10.1186/s41239-020-00192-4</a>
Alternative languages
Result language
angličtina
Original language name
Testing of Support Tools for Plagiarism Detection
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50803 - Information science (social aspects)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Educational Technology in Higher Education
ISSN
2365-9440
e-ISSN
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Volume of the periodical
17
Issue of the periodical within the volume
July
Country of publishing house
GB - UNITED KINGDOM
Number of pages
31
Pages from-to
46
UT code for WoS article
000552264700001
EID of the result in the Scopus database
2-s2.0-85088576086