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Even if you wrote the text without consulting other sources, unintentional plagiarism may occur in the text. Cliches, for example, are used by everyone in their texts and lessen the text's distinctiveness.
deepen your understanding of the content (rewrite);
if required, utilize synonyms
obliterate cliches and overused phrases;
Make your text concise and straightforward;
Make sure your text is free of stop words and errors.
The text can be checked using any anti-plagiarism service that you find on the Internet. Due to the uniqueness of the content, Seo algorithms will work on your site and your site will rise in the search ranking.
Why is it necessary to check for text uniqueness?
We want to see something intriguing and new every time we open an article or watch a video. We also want to learn something new or have some fun. As a result, the resource's content must be unique. What does it mean to be "unique"? This means that there must be no plagiarized content. It must also have value for the user, be intriguing, and valuable. So that users will be interested in returning to this site and making it more popular.
If we look at this from the perspective of the search engines rather than the user, a resource for plagiarism can be either not indexed, which means it won't be seen by users, or worse, prohibited.
The percentage of unique content is calculated. It is the best outcome if the text is 100 percent unique. However, 90% is quite fine. Remember that different services may return different results for the same text, sometimes by a factor of several percent.
What is the anti-plagiarism mechanism, and how does it work?
The online anti-plagiarism system scans the Internet for pages that contain whole or partial duplicates of a text when it is examined for uniqueness. To find copies, the content of these resources is compared to the desired text.
The total uniqueness of the text will be determined as a percentage based on the duplicates identified, as well as the uniqueness relative to each resource found with duplicates. You can view what text fragments the machine has discovered on each of the analyzed pages.
If you are aware that this content has already been published on another site and do not want that site to be included in the overall uniqueness analysis, you can usually provide the address in the "Ignore site" section.
How do you pick the best option?
We recommend conducting a small experiment to see which service is more effective:
Prepare a text that has previously been published elsewhere and gently alter it.
Select a few options and send the text to be scanned.
Choose the best result for you based on the percentage of uniqueness and the degree of variance depending on the scan findings.
