Plagiarism checking is a mandatory stage aimed at determining the originality of a scientific article, protecting authors’ rights, and ensuring academic integrity.
All scientific articles submitted through the el-nspi.uz system are subject to plagiarism checking using the national anti-plagiarism system Antiplag.uz.
Antiplag.uz is developed based on artificial intelligence and machine learning technologies and is designed to detect plagiarism, repeated text, and semantically similar fragments.
This check is conducted prior to scientific expertise, and its results serve as the basis for submitting the article for scientific review, peer review, or an editorial decision.
II. Brief Overview of the Antiplag.uz System
Antiplag.uz is the national anti-plagiarism system and the first and leading platform in the Republic of Uzbekistan for detecting textual plagiarism.
The system compares document texts against:
billions of sources available on the Internet;
licensed databases;
scientific journals;
closed archives, and identifies similarities within the document.
Antiplag.uz supports multilingual text checking (Uzbek, Russian, English, and others), including the detection of similarities in translated materials.
III. Sources and Methods of Verification
Plagiarism checking is conducted against the following sources:
open Internet resources;
scientific journals;
document databases of higher education institutions of the Republic of Uzbekistan;
specialized databases indexed by Antiplag.uz.
The system is capable of identifying not only direct textual matches but also semantic similarities.
IV. Verification Process
After an article is uploaded, the Antiplag.uz system automatically initiates the document verification process.
The verification results include:
similarity percentage (similarity index);
text fragments with identified similarities;
source references indicating the origin of the matched content;
statistical data.
The results are provided in the form of a detailed report and are subject to additional analysis by the editorial board or the author.
V. Evaluation Criteria
Based on the results obtained through Antiplag.uz, the article is evaluated as follows:
Low similarity level – the article may be considered original and is forwarded to the next stage of expert review.
Moderate similarity level – possible instances of improper borrowing or incorrect citation; the author is required to provide clarification or revise the text.
High similarity level – indications of plagiarism are identified; the article may be reconsidered or rejected.
Note: The similarity percentage is not the sole evaluation criterion. The context of the text, correctness of citations, and scientific relevance are always taken into account, in line with international practice (srt-journal.uz).
VI. Self-Plagiarism
The Antiplag.uz system also detects similarities with the author’s previously published works and identifies cases of self-plagiarism.
Self-plagiarism includes:
the use of a substantial part of a previously published work without proper citation;
submission of identical research results to multiple journals.
In cases where self-plagiarism is identified, the article is returned for revision or rejected.
VII. Decision-Making and Author Notification
Upon completion of the plagiarism check, one of the following decisions is officially communicated to the author through the personal account:
the article has been forwarded for scientific expertise;
the article has been returned to the author for revision;
the article has been rejected.
The editorial board makes the final decision taking into account the plagiarism report and expert opinions.
VIII. Alignment with International Practice
The plagiarism-checking approach applied in the el-nspi.uz and Antiplag.uz systems complies with international standards and includes:
artificial intelligence–based detection;
use of a broad range of search sources;
multilingual verification;
generation of detailed reports.
In certain cases, the editorial board may use additional international plagiarism detection systems, such as iThenticate, Turnitin, or others, as supplementary verification tools (srt-journal.uz).
IX. Final Provisions
The primary objective of plagiarism checking is to ensure academic integrity, respect authors’ rights, and enhance the quality of scientific publications.
This procedure is subject to regular updates and continuous improvement in accordance with international standards.
