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The emergence of large language models (LLMs) such as GPT-3 and ChatGPT raised global discussion about the impact of artificial intelligence on writing and plagiarism. One such innovation is the GPT-2 model, which is capable of generating coherent paragraphs and achieving high scores on various language modeling assessments.
Editors must therefore take particular care when writing an article, or a section of an article, that has much the same scope as a single source. The editor must be especially careful in these cases to extract the facts alone and present the facts in plain language, without carrying forward anything that could be considered "creative expression".
Plagiarism is taking credit for someone else's writing as your own, including their language and ideas, without providing adequate credit. [1] The University of Cambridge defines plagiarism as: "submitting as one's own work, irrespective of intent to deceive, that which derives in part or in its entirety from the work of others without due acknowledgement."
Doing so usually constitutes both a copyright violation and plagiarism (exceptions are discussed below). This general rule includes copying material from websites of charity or non-profit organizations, educational, scholarly and news publications, and all sources without a copyright notice.
You might think you know what plagiarism is, and how to avoid it. But Wikipedia is a little bit different. The rules cover not only copy-and-paste plagiarism, but also close paraphrasing and copyright violations. And the stakes are high: the consequences of committing plagiarism in a Wikipedia class assignment are the same as handing in a paper ...
This approach aims to recognize changes in the unique writing style of an author as an indicator for potential plagiarism. [8] [9] PDSes are not capable of reliably identifying plagiarism without human judgment. Similarities and writing style features are computed with the help of predefined document models and might represent false positives.
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