Plagiarism Policy

Algora: Journal of AI, Data Science & Engineering is committed to maintaining originality, academic integrity, and ethical standards in scholarly publishing. The journal does not tolerate plagiarism or other forms of inappropriate use of previously published or unpublished work.

Plagiarism Screening

All submitted manuscripts may be screened using appropriate plagiarism or similarity-detection software before or during the editorial review process. Similarity reports are assessed by the editorial team to determine the nature and context of any identified overlap.

A similarity percentage alone is not considered conclusive evidence of plagiarism. Properly cited quotations, references, commonly used technical terminology, and other legitimate similarities are considered in context.

Forms of Plagiarism

Plagiarism may include:

  • copying text, ideas, data, figures, tables, code, or other material without proper attribution;
  • presenting another person's work or ideas as one's own;
  • inappropriate paraphrasing without adequate citation;
  • reproducing copyrighted material without appropriate acknowledgement or permission where required;
  • self-plagiarism or substantial reuse of an author's previously published material without appropriate citation or disclosure; and
  • submitting substantially duplicated or redundant work without proper disclosure.

Editorial Action

If potential plagiarism is identified before publication, the editorial team will assess the matter and may request clarification or revision from the authors. Manuscripts containing substantial or serious plagiarism may be rejected.

If plagiarism is discovered after publication, the journal will investigate the concern and may issue a correction, retraction, or other appropriate editorial notice depending on the nature and severity of the case.

Authors are responsible for ensuring that their manuscripts are original, that all sources are properly cited, and that appropriate permissions have been obtained for third-party material where required.

Commitment to Academic Integrity

The journal handles plagiarism concerns fairly and on the basis of available evidence. Decisions are made by considering the nature, extent, and context of the identified material rather than relying solely on a numerical similarity score.