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The text is not wikified or is over-wikified, with every occurrence of a word or phrase made into a wiki link (as if search-and-replace had been used to insert the links) The text was added all at once by one person in finished form with no spelling or other errors.
Unattributed plagiarism, where you copy text and don't credit the author. Plagiarism of cited sources, where you copy text exactly (even when you credit the author). Close paraphrasing, where you just slightly change the text of another author (cited or not). Read more detail about copying text from other sources.
Even inserting text copied with some changes can be a copyright violation if there is substantial linguistic similarity in creative language or sentence structure; this is known as close paraphrasing, which can also raise concerns about plagiarism. Such situations should be treated seriously, as copyright violations not only harm Wikipedia's ...
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."
It is acceptable to copy text from public domain sources or those that are explicitly licensed under a compatible licensing scheme. (In case of the latter, attribution of the original author may be required: see this article on Plagiarism.) However, copying contents from all other sources entails what is explained above.
Yes, you can copy interface text from public domain programs, or CC0 programs, directly onto Wikipedia, as public domain programs are compatible with the CC-BY-SA license used by Wikipedia. Make sure the program is explicitly licensed CC0 or public domain, and use {{ CC-notice }} or {{ PD-notice }} to indicate this.
In particular, substring matching procedures achieve good performance for copy and paste plagiarism, since they commonly use lossless document models, such as suffix trees. The performance of systems using fingerprinting or bag of words analysis in detecting copies depends on the information loss incurred by the document model used.
However if you come across such copying then there is a process for helping editors in the future make a more informed choice before proposing the deletion of a Wikipedia article under the mistaken belief that the content of the article contains text that is the copyright of a third party.
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