方法对比
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| 相似性与剽窃：理解区别× | Turnitin 和 iThenticate 相似度检测× | |
|---|---|---|
| 领域 | 研究伦理 | 研究伦理 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2000s | 1997 |
| 提出者≠ | Academic integrity frameworks and plagiarism detection software companies | Turnitin (1997), iThenticate (commercial variant) |
| 类型≠ | Concept | Tool |
| 开创性文献≠ | Hirsch, L. R. (2013). Recognizing plagiarism: A guide for academic professionals. Teaching Professor Blog. link ↗ | Turnitin. (2023). Turnitin similarity detection and plagiarism detection technology. Retrieved from https://www.turnitin.com/products/similarity link ↗ |
| 别名≠ | similarity index, turnitin score, similarity percentage | text-matching software, plagiarism detection software, similarity detection, originality reports |
| 相关≠ | 4 | 2 |
| 摘要≠ | A critical distinction exists between similarity percentages generated by plagiarism detection software (Turnitin, iThenticate) and an actual plagiarism verdict. A similarity index is a red flag requiring review; it is not a plagiarism determination. High similarity can result from legitimate quotations, references, shared technical language, or common knowledge. Conversely, low similarity does not guarantee absence of plagiarism. Human expert judgment is essential—similarity detection software provides data, not judgment. | 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. |
| ScholarGate数据集 ↗ |
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