Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Plágio Mosaico× | Detecção de Similaridade Turnitin e iThenticate× | |
|---|---|---|
| Área | Ética em pesquisa | Ética em pesquisa |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1990s | 1997 |
| Autor original≠ | Academic integrity framework (modern definition) | Turnitin (1997), iThenticate (commercial variant) |
| Tipo≠ | Concept | Tool |
| Fonte seminal≠ | Roig, M. (2015). Avoiding plagiarism, self-plagiarism, and other questionable writing practices: A guide to ethical writing. U.S. Department of Health and Human Services Office of Research Integrity. link ↗ | Turnitin. (2023). Turnitin similarity detection and plagiarism detection technology. Retrieved from https://www.turnitin.com/products/similarity link ↗ |
| Outros nomes≠ | patch-writing, patchwork plagiarism, incremental plagiarism | text-matching software, plagiarism detection software, similarity detection, originality reports |
| Relacionados≠ | 4 | 2 |
| Resumo≠ | Mosaic plagiarism, also called patch-writing, occurs when an author mixes copied phrases and sentences from a source with original text, rearranges material from multiple sources, or interweaves paraphrased and verbatim passages without proper citation or quotation marks. It is difficult to detect because the copied portions are interspersed with original writing, creating a surface appearance of original work. | Turnitin and iThenticate are commercial text-matching software tools used by educational institutions and academic journals to screen submissions for potential plagiarism. Turnitin is designed for student assignments; iThenticate is designed for researcher manuscripts. Both tools compare submitted text against billions of sources (web pages, academic databases, previously submitted documents) and generate a Similarity Index showing what percentage of the submission matches existing sources. These tools are screening instruments, not plagiarism detectors—they flag suspicious content for human review. |
| ScholarGateConjunto de dados ↗ |
|
|