Author Topic: Report review and analysis recomendations  (Read 275 times)

Alexei B.

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Report review and analysis recomendations
« on: September 21, 2021, 07:19:25 PM »
It is important to remember, that Plagiarism Detector's reports are to be properly reviewed and assessed by a human before making any final decisions on the level of Plagiarism and/or coincidental similarities present in a document. Not everything similarity detected by a program is intentional Plagiarism!

When reviewing a report myself, I usually pay attention to the following:
1. Was the proper preset used? (https://plagiarism-detector.com/smf_bb/index.php/topic,337.0.html)
2. How much Plagiarism is reported? After some practice you will get a feeling of a usual level of detection for checked documents. In my practice a document with 0% detection looks more suspicious than a document with some 5-10% (for example). Due to the nature of any language it is unlikely to have a text that has no similarities to other texts online.
3. How it is distributed within the document: big solid chunks are more likely to be real Plagiarism than short distributed sections "6 words there, 7 words there".
4. If those detected sections are any kind of set word sequences: names of organizations, books, literature or source mentions, etc.
5. Sources reported by the program. If there are a few sources with high similarity percentage reported - I will check them using the side-by-side comparison feature. If there are no "primary" sources - sources with low overall similarity score are more likely to be coincidental detections.
6. Are References properly used?
7. Are there any problems with possible resources listed. Things to note will include, for example, a very short list of possible resources or a high number of failed resources.


The criteria each client uses may be unique and take into consideration many things, including language, knowledge domain, Institution's requirements and type of document, so we don't push any kind "one rule fits all" solution in this regard. Instead we recommend to take you time to analyze you reports, use Side-By-Side Comparison feature to determine if a reported similarity is an intentional Plagiarism or not. After some practice it will be easy to split our reports that require special attention from those you can consider "clean".

You can always contact our support service to get qualified help in reviewing your reports.