@article{CONDURACHE_BOLBOACĂ_2022, title={Comparison of Plagiarism Detection Performance between some Commercial and Free Software}, volume={44}, url={https://ami.info.umfcluj.ro/index.php/AMI/article/view/904}, abstractNote={<p><em>Introduction</em>: 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. <em>Aim: </em>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. <em>Material and Method: </em>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). <em>Results: </em>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. <em>Conclusion: </em>Among the tested software, <strong>Turnitin</strong> proved to be the best commercial software and <strong>Plagiarism detector</strong> the best free software for testing academic documents similarity, differences between them being minimal.</p>}, number={2}, journal={Applied Medical Informatics}, author={CONDURACHE, Ilie-Andrei and BOLBOACĂ, Sorana D.}, year={2022}, month={Jun.}, pages={73–86} }