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Analyzer of the ranking of original texts

Unfortunately, the copyrighted content is illegaly copied all too often on the web. Any author faces the fact that his texts are subject to theft: the text of a newly created article can be copied on some web page within a few days or even a few hours after the article has been published. The websites stealing the content usually claim that it was "taken from open sources" or "uploaded by one of the users". Stolen content can be used to attract search engine users to a web page and the resulting traffic can be converted to money. This is the main reason for such 'borrowing'. The ability to identify the original texts and rank the corresponding web pages higher than the pages containing copied materials is a crucial property of any search engine.
Two weeks | Month | Half year | Year | All
Simple queries | Quoted queries
39.0 ▲1.0
10.2 ▼1.2
6.9 ▲1.2
6.0 ▼1.1
4.7  
1.1  
N/A  
  • 90−100%
  • 80−90%
  • 60−80%
  • 40−60%
  • 20−40%
  • 0−20%
Date
November 18 10.2 6.0 39.0 1.1 4.7 6.9
November 17 11.4 5.2 7.1 38.0 1.1 4.7 5.7
November 16 11.4 10.3 9.5 37.0 1.1 4.8 5.7
November 15 11.4 10.7 9.5 37.0 2.3 9.4 8.0
November 14 13.6 8.5 9.5 35.4 2.3 7.1 6.9
November 13 15.9 5.2 9.5 38.0 0.0 4.7 5.7
November 12 14.8 5.3 10.7 37.0 1.1 7.1 6.9
November 11 14.8 5.2 9.5 38.0 1.1 8.2 8.0
November 10 14.8 7.0 11.9 36.0 1.1 8.2 10.3
November 09 13.6 6.9 9.5 37.0 1.1 8.2 8.0
November 08 17.0 5.2 6.8 37.0 1.5 9.4 10.3
November 07 17.0 7.1 13.1 38.0 1.1 7.1 5.7
November 06 15.9 12.3 13.1 36.0 1.1 5.9 6.9