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2. Unicheck - Wikipedia

   en.wikipedia.org/wiki/Unicheck

   Unicheck uses an algorithm that searches for similar text on web pages, in open source repositories, and in the user's internal library. Accuracy of search is achieved by using the algorithm that divides text into small shifting sequences and uses them to look for similarities and by using live web index, which enables checks against all web pages.

3. Content similarity detection - Wikipedia

   en.wikipedia.org/wiki/Content_similarity_detection

   A study was conducted to test the effectiveness of similarity detection software in a higher education setting. One part of the study assigned one group of students to write a paper. These students were first educated about plagiarism and informed that their work was to be run through a content similarity detection system.

4. Turnitin - Wikipedia

   en.wikipedia.org/wiki/Turnitin

   This prevents one student from using another student's paper, by identifying matching text between papers. In addition to student papers, the database contains a copy of the publicly accessible Internet, with the company using a web crawler to continually add content to Turnitin's archive. It also contains commercial and/or copyrighted pages ...

5. Comparison of anti-plagiarism software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_anti...

   Checks against ProQuest databases and (public) web pages. [3] HelioBLAST: Virginia Bioinformatics Institute? (free of charge web service) Latin Submissions are limited to 1,000 words. Checking against abstract and titles in Medline/PubMed. [4] iThenticate: iParadigms 2004 2017 proprietary: SaaS: Latin PlagScan: PlagScan GmbH 2008 limited SaaS ...

6. AOL

   search.aol.com

   The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

7. Fuzzy hashing - Wikipedia

   en.wikipedia.org/wiki/Fuzzy_hashing

   Fuzzy hashing exists to solve this problem of detecting data that is similar, but not exactly the same, as other data. Fuzzy hashing algorithms specifically use algorithms in which two similar inputs will generate two similar hash values. This property is the exact opposite of the avalanche effect desired in cryptographic hash functions.