Ad
related to: Should plagiarism detection software be used in research?Our writing assistant can detect plagiarism from billions of web pages and databases. Detect plagiarism, easily add sources, and automatically correct grammar issues.
Search results
- Software cannot determine plagiarism; it can only point to some cases of matching text. The systems can be useful for flagging up problems, but not for discriminating between originality and plagiarism. That decision must be taken by a person.
www.nature.com/articles/d41586-019-00893-5
Mar 1, 2019 · Plagiarism detection software can be used to scan author manuscripts and student papers in a few minutes, matching what they have submitted to already published work. This article examines plagiarism detection software and provides some recommendations for appropriate use by editors and authors.
- Megan von Isenburg, Marilyn H. Oermann, Valerie Howard
- 2019
- Language-Based Coverage
- Source-Based Coverage Testing
- Disguising Technique-Based Coverage
- Multi-Source Coverage Testing
- Overall Coverage Performance
- Usability
- Combined Coverage
With respect only to the language-based coverage, the performance of the tools for eight languages was evaluated in order to determine which tools yield the best results for each particular language. The results showed that best-performing tools with respect only to coverage are (three systems tied for Italian): 1. PlagAware for German, 2. PlagScan...
Source-based coverage testing was made using four types of sources; Wikipedia, open access papers, a student thesis and online articles. For many students, Wikipedia is the starting point for research (Howard & Davies, 2009), and thus can be regarded as one of the primary sources for plagiarists. Since a Wikipedia database is freely available, it i...
The next dimension of coverage testing is disguising technique-based coverage. In this phase, documents were created using copy & paste, synonym replacement, paraphrase, and translation techniques. In copy & paste documents, all systems achieved acceptable results except DPV, intihal.net and Dupli Checker. Urkund was the best tool at catching simil...
In the last phase of coverage testing, we tested the ability of systems to detect similarity in the documents that are compiled from multiple sources. It is assumed that plagiarised articles contain text taken from multiple sources (Sorokina, Gehrke, Warner, & Ginsparg, 2006). This type of plagiarism requires additional effort to identify. If a sys...
Based on the total coverage performance, calculated as an average of the scores for each testing document, we can divide the systems into four categories (sorted alphabetically within each category) based on their overall placement on a scale of 0 (worst) to 5 (best). 1. Useful systems - the overall score in [3.75–5.0]:There were no systems in this...
The second evaluation focus of the present study is on usability. The results can be interpreted in two ways, either in a system-based perspective or a feature-based one, since some users may prioritize a particular feature over others. For the system-based usability evaluation, Docol©c, DPV, PlagScan, Unicheck, and Urkund were able to meet all of ...
If the results for coverage and usability are combined on a two-dimensional graph, Fig. 1emerges. In this section, the details of the coverage and usability are discussed. Coverage is the primary limitation of a web-based text-matching tool (McKeever, 2006) and the usability of such a system has a decisive influence on the system users (Liu, Lo, & ...
- Tomáš Foltýnek, Tomáš Foltýnek, Dita Dlabolová, Alla Anohina-Naumeca, Salim Razı, Július Kravjar, La...
- 2020
We show that academic plagiarism detection is a highly active research field. Over the period we review, the field has seen major advances regarding the automated detection of strongly obfuscated and thus hard-to-identify forms of academic plagiarism.
Jan 1, 2015 · The promises of plagiarism detection systems are plentiful, but the pitfalls are complex and deep. In practice, the software should not routinely be used on all student texts, but only used as an additional tool in the academic integrity toolkit of an institution.
- weberwu@htw-berlin.de
Sep 15, 2023 · Research on plagiarism detection software used instructionally rather than punitively has shown generally positive results. A comparative study of students receiving conventional anti-plagiarism instruction and others using the software as a learning tool resulted in significant reductions in plagiarism among the latter group (Stappenbelt ...
One of the most suited methods of detecting plagiarism in academic papers and manuscripts is utilizing plagiarism detection software. These softwares can not only be used by the editors of the journals in initial screening to assess the extent of similarity and early rejection of plagiarized manuscripts, but also prevent such manuscripts from ...
People also ask
Should plagiarism detection software be used on all student texts?
What is plagiarism detection software?
How to detect plagiarism in a manuscript?
Can software determine if a text is plagiarized?
Is academic plagiarism detection a research field?
Is plagiarism detection a cost-effective way to prevent plagiarism?
The plagiarism detection procedure consisted of automatic scanning of manuscripts using plagiarism detection software (eTBLAST and CrossCheck) and manual verification of manuscripts suspected of having been plagiarized (more than 10% text similarity).
Ad
related to: Should plagiarism detection software be used in research?Our writing assistant can detect plagiarism from billions of web pages and databases. Detect plagiarism, easily add sources, and automatically correct grammar issues.
