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  2. Turnitin - Wikipedia

    en.wikipedia.org/wiki/Turnitin

    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 ...

  3. Identify legitimate AOL websites, requests, and communications

    help.aol.com/articles/identify-legitimate-aol...

    • Don't use internet search engines to find AOL contact info, as they may lead you to malicious websites and support scams. Always go directly to AOL Help Central for legitimate AOL customer support. • Never click suspicious-looking links. Hover over hyperlinks with your cursor to preview the destination URL.

  4. Wikipedia:Turnitin/Objections - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Turnitin/Objections

    Also, Turnitin's web crawler may be superior for the purposes of finding plagiarism. It uses a pattern-matching algorithm that has been developed over two decades and which is different from standard keyword-matching algorithms used by search indexes such as Google, Bing and Yahoo. Turnitin's web index is also very large, up to 20 billion articles.

  5. List of fake news websites - Wikipedia

    en.wikipedia.org/wiki/List_of_fake_news_websites

    Fake news websites are those which intentionally, but not necessarily solely, publish hoaxes and disinformation for purposes other than news satire.Some of these sites use homograph spoofing attacks, typosquatting and other deceptive strategies similar to those used in phishing attacks to resemble genuine news outlets.

  6. Wikipedia:Turnitin - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Turnitin

    Turnitin is an Internet-based plagiarism-detection service run by iParadigms. Universities, schools, and professional researchers and writers submit documents to Turnitin's websites, which check the writing for originality against a comprehensive internet crawler, a database of proprietary content, and prior submissions.

  7. Content similarity detection - Wikipedia

    en.wikipedia.org/wiki/Content_similarity_detection

    Systems for text similarity detection implement one of two generic detection approaches, one being external, the other being intrinsic. [5] External detection systems compare a suspicious document with a reference collection, which is a set of documents assumed to be genuine. [6]