(EN) VIRTUAL CLASSROOM: Information StrikePlagiarism anti-plagiarism system

StrikePlagiarism is a machine-learning text recognition system designed to detect, prevent, and manage plagiarism:
The sources used are:
- Open internet sources and university and publishing databases.
- RefBooks database. RefBooks is Plagiat.pl's scientific database containing millions of doctoral theses, publications, student articles, scientific journals, and other types of documents in more than 30 languages. This database also includes documents published in Scopus, Web of Science, Springer, EBSCO, etc.
IMPORTANT:
1. Anti-plagiarism systems help detect plagiarism but are not a substitute for the examiner's work.
2. Instructors will analyze the report provided by StrikePlagiarism.
3. Instructors make the decision whether to grade a work as plagiarized or not.
PDF Video Anti-Plagiarism System User Manual
Manual for Interpreting the Similarity Report of the PDF Video Anti-Plagiarism System FAQ (in English)
Some considerations to keep in mind when submitting files for analysis:
- The file size must be a maximum of 100 MB. If the document to be analyzed exceeds this size, it must be split into multiple documents.
- The file formats accepted from the web portal are: txt, doc, docx, pdf, xls, xlsx, ppt, pptx, rtf, html, htm, and zip.
- The file formats accepted by the Virtual Classroom anti-plagiarism system are: txt, doc, docx, odt, pdf, and rtf.
Any other file format will not be accepted by the system.
- Images, graphs, and formulas that do not contain text will not be analyzed. However, if these images, graphs, and formulas contain text, it will be analyzed.
-Although the anti-plagiarism program can analyze whether the text was generated by Artificial Intelligence, using this option is not recommended as the results may not be accurate.
Access the platform: https://antiplagio.uv.es