Journal policy regarding academic plagiarism

Respect for intellectual property rights is a guiding principle of the professional ethics of the Journal of V. N. Karazin Kharkiv National University, Series “Foreign Philology. Methods of Foreign Language Teaching”. Plagiarism is a clear violation of academic virtue. In accordance with “The rules of verification of scientific works, educational publications and qualification masters’ theses of the staff and students of V. N. Karazin Kharkiv National University in regard to borrowings from other documents”, the Editorial Board checks the articles admitted for publication for the absence of academic plagiarism.

The journal will reject any materials that don’t meet the anti-plagiarism requirements.

Regarded as varieties of plagiarism are:

• copying and publishing another person’s work as one’s own;
• the word-for-word transcription of text fragments (from a sentence to a group of sentences) of another person’s work without quotation marks and citing the source.
• making minor amendments in the copied material (rewording sentences, changing arrangement of words, etc.) without quotation marks and citing the source;
• excessive use of paraphrasing (rewording of something written by someone else) without citing the source.

Authorship and AI tools

Authors should not list AI-assisted technologies, such as LLMs, chatbots, or image creators, as authors or co-authors. AI tools used in research or manuscript preparation must be transparently disclosed in the cover letter, acknowledgments, and methods section. Authors are responsible for accuracy, avoiding plagiarism, and guarding against AI-induced bias. Editors may reject manuscripts for inappropriate AI use, and reviewers must refrain from AI-generated reviews to maintain confidentiality.

See also: COPE position statement about authorship and AI tools

AI-generated images and other multimedia are not allowed in our journal without explicit permission from the editors.  Exceptions may be considered for content in manuscript directly related to AI or machine learning, subject to evaluation on an individual basis.

The main system for plagiarism detection is Strikeplagiarism.com.