What is the uniqueness of the text and how to check it?
You have probably already heard more than once that search engines especially appreciate unique texts, and therefore, when creating your website or any Internet project, you sincerely intend to fill it with only original works of pen masters.
Intuitively, you already understand that a unique text is a text written from scratch and unlike the others, that is, it is such one. No copies, no repetitions. When you write text yourself, you are sure that your text is unique. However, what a surprise it is when you suddenly discover that the text that you yourself composed is by no means unique from the point of view of search engines.
A simple example. You have come up with the title of the article, hammer it into a search engine, and suddenly you see that it was already invented before you …
In practice, the uniqueness of the texts is checked using special online services or programs installed on the computer that work on the principle of search engines. They are used by website editors, web site studios, and the authors themselves.
However, it turns out that there is nothing infallible, and there are no ideal applications for assessing the uniqueness of texts either. So, taking one article published long ago on the project (and therefore already having a lot of duplicates), I decided to check how similar the results would be. So, the copyscape.ru service showed 9 copies, miratools.ru found 39 duplicates, istio.com – 23, the DCF program – more than 50. I wondered why the results are so different.
If you explain in simple words, then, from the point of view of robots, the text in which the word order does not coincide with any of the options in the arsenal will be unique. That is why one of the easiest and quickest ways to make the text original is to rearrange sentences or replace some words with synonyms. And where a person will notice obvious plagiarism, the robot may pass approvingly by.
The uniqueness of the text is checked by search engines based on complex algorithms, the meaning of which is to analyze broken into pieces of a string of words of checked texts and compare the results. The shorter the lines of text, the more accurate the result.
The text is divided into segments of five to six words, which are converted into binary code. During the check, each section of the text is assigned a unique number, and the result is calculated according to the specified algorithm in the form of a checksum. The control numbers cannot be the same for different texts. Moreover, in the process of such “scanning” the text, the final word of one segment is the first for a new segment, and, therefore, not a single word is lost. This method is called the shingle method. The shorter the text segments to be checked, the more accurate the result. Not only exact copies of your text will be found, but also its “light” alterations.
The passage method involves breaking down the text into larger sections: the check is no longer at the level of phrases, but at the level of sentences. For example, if out of ten words of one sentence, five words coincide with the composition of another sentence, its uniqueness will be estimated at 50 percent.
Most applications designed to test the uniqueness of text are based on the shingles method. However, along with the high efficiency of finding duplicates, the method has its own minus.
You have to be very careful with such applications if, for example, you use quotes: quoted texts can significantly reduce the uniqueness of the text. The same applies to various common expressions: sayings, proverbs, phraseological phrases, giving the text originality, can significantly reduce its uniqueness.
Therefore, do not be surprised if your own original text suddenly rejects the program: it is not up to the delights of style, the whole thing is in ordinary mathematics.