Plagiarism Policy

The International Journal of Artificial Intelligence, Social Sciences and Humanities (IJAISSH) maintains a zero-tolerance policy toward plagiarism. All submitted manuscripts are screened for originality using industry-standard plagiarism detection software.

Definition of Plagiarism

Plagiarism is the use of another person's ideas, words, data, or creative expression without proper acknowledgment. This includes:

Direct plagiarism: Word-for-word copying without quotation marks and citation
Paraphrasing plagiarism: Rephrasing someone else's ideas without proper attribution
Self-plagiarism: Reusing substantial portions of one's own previously published work without disclosure
Mosaic plagiarism: Piecing together text from multiple sources without attribution
Data plagiarism: Using another researcher's data without permission or acknowledgment

Plagiarism Detection

All manuscripts submitted to IJAISSH are checked using plagiarism detection software (e.g., iThenticate, Turnitin, or equivalent tools) during the initial screening process. The similarity report is reviewed by the Editor-in-Chief.

Acceptable Similarity

Similarity Level	Action
Below 15%	Acceptable — proceeds to peer review
15%–25%	Author asked to revise and reduce similarity before review
Above 25%	Manuscript rejected — author may resubmit after substantial revision

Note: These thresholds exclude properly quoted and cited material, references, and common phrases.

Consequences of Plagiarism

Pre-publication:

Manuscript rejection
Author warned formally
Repeated offenders may be banned from future submissions

Post-publication:

Article retraction following COPE retraction guidelines
Retraction notice published prominently
Author's institution notified
Author banned from future submissions for a specified period

Reporting Plagiarism

If you suspect plagiarism in a published IJAISSH article, please report it to the Editor-in-Chief at [email protected] with supporting evidence. All reports are investigated promptly and confidentially.