Testing of Support Tools for Plagiarism Detection

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Testing of Support Tools for Plagiarism Detection

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Testing of Support Tools for Plagiarism Detection

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50803 - Information science (social aspects)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Educational Technology in Higher Education

ISSN

2365-9440

e-ISSN

—

Svazek periodika

17

Číslo periodika v rámci svazku

July

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

31

Strana od-do

46

Kód UT WoS článku

000552264700001

EID výsledku v databázi Scopus

2-s2.0-85088576086