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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.
Wikipedia:Copying within Wikipedia: guideline on copying content from one Wikipedia page to another; Wikipedia:Plagiarism: guideline on plagiarism; Wikipedia:Guide to image deletion: an overview of various processes for handling problem files; Wikipedia:Donating copyrighted materials: information on how to donate copyrighted materials you own
At a minimum, this means providing an edit summary at the destination page—that is, the page into which the material is copied—stating that content was copied, together with a link to the source (copied-from) page, e.g. Copied content from [[<page name>]]; see that page's history for attribution. It is good practice, especially if copying ...
Open your document in Word, and "save as" an HTML file. Open the HTML file in a text editor and copy the HTML source code to the clipboard. Paste the HTML source into the large text box labeled "HTML markup:" on the html to wiki page. Click the blue Convert button at the bottom of the page.
A free license makes the source available for anyone – not just Wikipedia, but anyone using Wikipedia – to use, edit, and copy it for any purpose, even commercial ones. It's unfortunately common for new or inexperienced editors to become frustrated when content they have copied from websites they own (or work for) is removed or articles ...
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 ...
One student was accused of stealing someone else's work -- and she says it's because of her race.
This discards whitespace, comments, and identifier names, making the system more robust against simple text replacements. Most academic plagiarism detection systems work at this level, using different algorithms to measure the similarity between token sequences. Parse Trees – build and compare parse trees. This allows higher-level ...
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