Differences
This shows you the differences between two versions of the page.
Next revision | Previous revision | ||
en:interpretinganalysis [2016/01/21 15:15] gustavo created |
en:interpretinganalysis [2023/01/12 07:22] (current) |
||
---|---|---|---|
Line 1: | Line 1: | ||
- | |||
- | |||
==== Plagius - Interpreting the Results of the analyzes ==== | ==== Plagius - Interpreting the Results of the analyzes ==== | ||
- | {{ | + | {{ |
- | The Plagius is an excellent | + | Plagius is a useful |
- | An automated system, such as Plagius, is not yet able to affirm | + | The results of an automated system such as Plagius |
- | The following topics will discuss some tips on how to use the Plagius interpreting the results in the best possible way. | + | The following topics will discuss some tips on how to use Plagius interpreting the results in the best possible way. |
- | === How to interpret the test results === | + | === How to interpret the analysis |
Despite Plagius brings diverse information in the analysis result, the best approach is still the manual review of the analyzed text: if there are many highlighted phrases together (regardless of color) next to each other means there is high chance of this section have been copied. | Despite Plagius brings diverse information in the analysis result, the best approach is still the manual review of the analyzed text: if there are many highlighted phrases together (regardless of color) next to each other means there is high chance of this section have been copied. | ||
Line 21: | Line 20: | ||
When there is a suspicion, the highlighted section must be manually compared to the original source to ensure that is a case of plagiarism. | When there is a suspicion, the highlighted section must be manually compared to the original source to ensure that is a case of plagiarism. | ||
+ | |||
+ | [[https:// | ||
Line 26: | Line 27: | ||
The percentage represents only a statistical indicator. Reports the percentage of the document sentences that were located on some website. It cannot be considered as plagiarism identification because not always that a phrase already exists on the Internet is plagiarism. A common example is the citations: if there are a high number of citations is higher the percentage of suspected plagiarism, regardless of whether the citations are properly referenced, so the percentage of suspicions will differ from the reality. | The percentage represents only a statistical indicator. Reports the percentage of the document sentences that were located on some website. It cannot be considered as plagiarism identification because not always that a phrase already exists on the Internet is plagiarism. A common example is the citations: if there are a high number of citations is higher the percentage of suspected plagiarism, regardless of whether the citations are properly referenced, so the percentage of suspicions will differ from the reality. | ||
- | FIXME ** This page is not fully translated, yet. ** \\ // (Remove this paragraph once the translation is finished) | + | [[https:// |
=== Variation between different analyzes for the same document === | === Variation between different analyzes for the same document === | ||
- | Every analysis of a document, the result will always vary because the search phrases are built randomly and search engines are also chosen randomly. The difference between the results does not compromise the result of the analysis. | + | In the analysis of a document, the result will always vary because the search phrases are built randomly and search engines are also chosen randomly. The difference between the results does not compromise the result of the analysis. |
- | === When there is actually Plagiarism? === | + | === When is there actually Plagiarism? === |
- | Not based on any study but in my own experience, | + | Not based on any study but in my own experience, |
- | === Colors of the test result === | + | === Colors of the analysis |
- | In the analysis results, the generated text is displayed in various colors, ranging between black and all shades between blue and vermelho.Em short, the closer the greater | + | In the analysis results, the generated text is displayed in various colors, ranging between black and all shades between blue and red. Summing up, the closer |
=== Other approaches === | === Other approaches === | ||
- | In the second tab of the test result, " | + | In the second tab of the analysis |
- | To assist this individual comparison, Plagius has a feature which helps in this task: Right click on any item in the list and choose | + | To assist this individual comparison, Plagius has a feature which helps in this task: Right click on any item in the list and choose " |