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Turnitin has offered to review every English Wikipedia article for copyright violations, a service worth hundreds of thousands of dollars. This review could revolutionize the way we manage our articles, reveal previously undiscovered infractions, and shore up a core part of our mission -- to remain truly free for others to use, modify, or even ...
Turnitin (stylized as turnitin) is an Internet-based similarity detection service run by the American company Turnitin, LLC, a subsidiary of Advance Publications. Founded in 1998, it sells its licenses to universities and high schools who then use the software as a service (SaaS) website to check submitted documents against its database and the ...
Consumer Reports (CR), formerly Consumers Union (CU), is an American nonprofit consumer organization dedicated to independent product testing, investigative journalism, consumer-oriented research, public education, and consumer advocacy.
This is done at the school's discretion because Turnitin provides an option that will prevent student essays from being fully screened and submitted to the database, if a school wants to use that option. Turnitin's function: Student Database, privacy concerns, intellectual property infringement, webcrawling the Internet, what have you.
Turnitin checks and archives millions of papers and uses its database and algorithms to identify plagiarized material. [1]Submissions are compared to over 17 billion web pages, 200 million student papers, and over 100 million additional articles from content publishers, including library databases, text-books, digital reference collections, subscription-based publications, homework helper ...
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Turnitin could easily integrate with this existing system, through one of the existing copyright bots such as MadmanBot, or through a new bot that posted article talk page notices with links to Turnitin reports. If Turnitin's algorithm was rigorously tested, we could design bots which automatically tagged pages with a high level of text-matching.
At off-peak hours for Turnitin, they could run full reports of every single article on English Wikipedia. The reports would detail which parts of Wikipedia articles matched web content, proprietary content, and, if desired, prior submissions to Turnitin. The reports would identify which external source positively overlapped for each match.