Comparison of Plagiarism Detection Performance between some Commercial and Free Software

Authors

  • Ilie-Andrei CONDURACHE University of Medicine and Pharmacy “Iuliu Hațieganu” Cluj-Napoca, Faculty of Medicine, Department of Biostatistics and Medical Bioinformatics
  • Sorana D. BOLBOACĂ Department of Biostatistics and Medical Bioinformatics, “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, Louis Pasteur Str., No. 6, 400349 Cluj-Napoca, Romania https://orcid.org/0000-0002-2342-4311

Keywords:

Plagiarism, Similarity, Performance, Software

Abstract

Introduction: The act of plagiarism is represented by using someone else’s information or research without the author’s consent and/or without the author’s full acknowledgement. Detection of plagiarism can be easily made using computer software that identifies fragments of texts as not original. Aim: This study aimed to highlight and compare the performance in detecting a specific type of plagiarism (copy-paste) in different types of documents between free and commercial software. Material and Method: A document of 808 words was created using eight fragments of texts from eight different sources. Two other versions of the document were then created: one with approximately 43% of the text similar and another with the entire text paraphrased. Seven software programs were used for the similarity analysis of each of the three texts (4 commercial and 3 free). Results: The original document showed differences in detection performances (Turnitin – 97% observed similarity, and Plagiarism detector – 93% observed similarity, had the highest performance). In the document with 43% similarity, the performance was affected across all programs, but Plagiarism detector had the best performance (43% observed similarity). None of the evaluated software could detect the original sources in the entire paraphrased document. Conclusion: Among the tested software, Turnitin proved to be the best commercial software and Plagiarism detector the best free software for testing academic documents similarity, differences between them being minimal.

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Published

30.06.2022

How to Cite

1.
CONDURACHE I-A, BOLBOACĂ SD. Comparison of Plagiarism Detection Performance between some Commercial and Free Software. Appl Med Inform [Internet]. 2022 Jun. 30 [cited 2024 Apr. 12];44(2):73-86. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/904

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Section

Articles