Antiplagiarism - what is it?

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Antiplagiarism is a special service that helps check text for uniqueness. Users upload a finished text, and the service shows its uniqueness as a percentage (on a scale from 0% to 100%). In this article, we will explain in simple terms why antiplagiarism services are needed, how they work, and also share life hacks on how to increase the uniqueness of the text.
What is anti-plagiarism for?
Antiplagiarism is needed to check text documents for borrowings from open sources on the Internet. Antiplagiarism services are often used by:

students (to check the originality of their term papers and theses);
educational institutions (to check students' work);
copywriters, SEO specialists (to check the uniqueness of the text for the site).
In general, plagiarism checking solves the problem of copying india whatsapp number database information.

How does anti-plagiarism work?
From the user's side, the anti-plagiarism system works very simply:

You upload the text to be checked into a special window.
The program processes the text for some time and searches for matches on the network.
The finished result appears on the screen as a percentage, where 100% is completely unique text, 0% is completely borrowed.
However, from the service side, everything does not look so easy. Anti-plagiarism systems use complex algorithms to check for originality. One of the most common algorithms is the shingle method.

A shingle is a small piece of text (2 to 7 characters). The anti-plagiarism program breaks the entire text into such shingles.

An example of what the breakdown into shingles looks like.
For each piece of text, a hash is calculated - a special unique set of letters and numbers in which the content of this shingle is "encrypted". In one text document, there cannot be two shingles with a unique hash.

An example of what a hash might look like.
What happens next: the anti-plagiarism system analyzes your text file and the text it considers original. And it starts comparing the hash of individual shingles. The more matches, the lower the percentage of uniqueness.

This is a very common method of checking texts for uniqueness. However, it has a significant drawback: in some topics (for example, medicine), there is terminology that cannot be replaced or paraphrased. Because of this, anti-plagiarism services can show low originality.

Many services use an additional uniqueness check in addition to the shingle method: for example, the lexical match algorithm. This algorithm searches for similar terms and concepts in the text. Therefore, simply swapping words will not work.