PlagScan Ranked Top Support Tool for Plagiarism Detection for the English Language


In February members of the renowned European Network for Academic Integrity published a study comparing 15 providers of support tools for plagiarism detection. The programs were tested for their performance, language coverage and usability. PlagScan did not just come out as one of the top solution providers overall (see our post PlagScan ranked as one of the top softwares for plagiarism detection worldwide), but also proved to have the best coverage to detect possible plagiarism for the English language.

Overall result for 12 documents. Weighted average of single-source and multi-source scores. Weight = number of documents (i.e. multi-source scores have weight of 1/5)
Overall result for 12 documents. Weighted average of single-source and multi-source scores. Weight = number of documents (i.e. multi-source scores have weight of 1/5)

Source: Foltýnek, Tomáš et al. (2020). Testing of Support Tools for Plagiarism Detection. https://arxiv.org/abs/2002.04279v1

Data set available via http://www.academicintegrity.eu/wp/wg-testing/
Accentuation and additional graph text by PlagScan; Licensed under CC-BY

For this specific test 12 documents in English were tested and according to the study “PlagScan performed best on the English set”. The documents were a mix of single-source and multi-source documents. For the single-source documents, the plagiarized text was taken from only one source. While are single-source documents are a case that can be found in real-world cases, it is less likely than multi-source documents. For multi-source documents different plagiarized text parts came from different sources. For the ENAI study the following sources were covered for this test: Open-access papers, student theses, Wikipedia articles and other online articles. While different solutions scored differently depending on the source and language, PlagScan was considered to be the best solution for texts written in English.

Across all tests the study of the European Network for Academic Integrity covered, PlagScan was one of five systems considered as a useful tool to support plagiarism detection. But we will not just settle for that, as we strive to become the best of those systems.

In case you have questions, do not hesitate to reach out to us by leaving a comment below this blog post or sending an email at info@plagscan.com. We look forward to hearing from you.


About Michael Beck

Michael is an expert in online communities, content creation and user experience while having a background in video gaming and entertainment topics. He decided to join PlagScan's team to support its endeavour to strengthen academic integrity and educate people on the topic of plagiarism and copyright.

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