Efficiency of national and international software in detection of similarity and plagiarism in manuscripts

• Autor(a) principal: Krokoscz, Marcelo
• Data de Publicação: 2022
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Em Questão (Online)
• Texto Completo: https://seer.ufrgs.br/index.php/EmQuestao/article/view/123123
• topic: plagiarism; similarity and plagiarism; plagiarism detection; anti-plagiarism software; plagio; similitud y plagio; detección de plagio; software antiplagio; plágio; similaridade e plágio; detecção de plágio; software antiplágio

This study aims to identify the efficiency level of fourteen software for detecting similarities between a text with fragments extracted from online content on financial education, found on open access websites, proceedings of academic events and open and restricted access scientific journals. Fragments extracted from the sources were used to create a cohesive text, written in Portuguese, containing literal textual reproductions, paraphrases, translation from the English language and manipulation with insertion of hidden characters and replacement of words by synonyms. The similarity reports generated by the programs were analyzed according to four criteria: 1 identification of correctly cited fragments; 2 identification of plagiarized fragments; 3 identification of texts manipulated to deceive the software; 4 identification of original sources, which were scored on a scale of 0 to 4 points. Although the Turnitin, Strikeplagiarism and Plagscan software obtained the best performance indices, it was found that the programs operate with variable and limited efficiency, which reinforces the conviction that, although they are useful tools for the identification of plagiarism, they contribute significantly limited by aspects such as recognition mainly of literal textual reproductions that do not always correspond to the original source. The original sources of rewritten, manipulated and translated texts were not found by any software. The study contributes to the improvement of the user's ability to choose, use and analyze the similarity reports generated by software, whose efficiency can be greater in the case of using more than one program.