Antiplagiarism Policy

EPSIR verifies the originality of all manuscripts using Crossref Similarity Check, a similarity detection service based on iThenticate (Turnitin) and provided by HISIN. Furthermore, the journal utilises the licensed AI-generated text detection functionality available in iThenticate as a tool to support the editorial review process.

The results of the similarity reports and AI-based text detection reports are reviewed and interpreted by the editorial team and do not, in themselves, constitute conclusive evidence of plagiarism or the misuse of artificial intelligence.

When writing a manuscript, authors must avoid any form of plagiarism, including self-plagiarism, and declare the use of generative artificial intelligence tools in accordance with the journal’s editorial policy.

This policy guarantees the originality of published work by identifying similarities between submitted texts and previously published sources. If evidence of plagiarism is found in the manuscript, it will be automatically rejected.

The analysis method is primarily quantitative, but with a strong qualitative emphasis. This is because similarity percentages may include properly cited content that does not constitute plagiarism. The similarity percentage ranges considered by our journal are as follows:

• 1–15%: Minor matches.

• 15–25%: A qualitative review is conducted and, if necessary, the manuscript is returned to the author for revisions.

• 25–30%: The report is forwarded to the Scientific Committee for internal analysis.

• 31% or more: The manuscript is rejected.

If a plagiarism claim is received after the publication of an article in EPSIR, and it is verified by the Editorial Board, the article will be formally retracted in accordance with the Retraction Guidelines provided by the Committee on Publication Ethics (COPE).