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Content similarity detection. Plagiarism detection or content similarity detection is the process of locating instances of plagiarism or copyright infringement within a work or document. The widespread use of computers and the advent of the Internet have made it easier to plagiarize the work of others. [1] [2]
Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI). However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.
Taking passages from their own previous work without adding citations (self-plagiarism). Re-writing someone's work without properly citing sources. Using quotations but not citing the source. Interweaving various sources together in the work without citing. Citing some, but not all, passages that should be cited.
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The game was subsequently cancelled in 2010 by its original developers Atomic Games. In 2021, a new studio Highwire Games announced they were reviving the game, but had spoken to over 100 veterans of the battle to make sure it is an accurate depiction of the events. [172] 2010 (start of development) School Shooter: North American Tour 2012: PC
GPTZero was developed by Edward Tian, a Princeton University undergraduate student, and launched online in January 2023 in response to concerns about AI-generated usage in academic plagiarism. [ 7 ] [ 8 ] GPTZero has raised over 3.5 million dollars in seed funding.
Comparison of anti-plagiarism software. The following tables compare software used for plagiarism detection .
Fictitious or fake entries are deliberately incorrect entries in reference works such as dictionaries, encyclopedias, maps, and directories, added by the editors as copyright traps to reveal subsequent plagiarism or copyright infringement. There are more specific terms for particular kinds of fictitious entry, such as Mountweazel, trap street ...
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