Plagiarism and Generative AI

Parewa Saraq: Journal of Islamic Law and Fatwa Review employs Turnitin to screen for similarity

  • Plagiarism and self-plagiarism are not allowed;
  • The authors should ensure that they have written entirely original works, and if the authors have used the work and/or words of others that this has been appropriately cited or quoted;
  • An author should not in general publish manuscripts describing essentially the same research in more than one journal or primary publication. Submitting the same manuscript to more than one journal concurrently constitutes unethical publishing behavior and is unacceptable;
  • Proper acknowledgment of the work of others must always be given. Authors should cite publications that have been influential in determining the nature of the reported work.

Working Process:

  1. Editorial Team checking manuscript on offline and online database manually (checking proper citation and quotation);
  2. Editorial Team checking manuscript by using Turnitin app. If it is found plagiarism indication (more than 20 %), the board will reject the manuscript immediately.

Generative AI Policy

Milkyah aligns with the Elsevier’s author policy on the use of generative AI and AI-assisted technologies. Generative AI tools can produce diverse forms of content, spanning text generation, image synthesis, audio, and synthetic data. Some examples include ChatGPT, Copilot, Gemini, Claude, NovelAI, Jasper AI, DALL-E, Midjourney, Runway, etc. While Generative AI has immense capabilities to enhance creativity for authors, there are certain risks associated with the current generation of Generative AI tools. Some of the risks associated with the way Generative AI tools work today are inaccuracy and bias, lack of attribution, confidentiality and intellectual property risks, and unintended uses.

Generative AI usage key principles

a) Copywriting any part of an article using a generative AI tool/LLM would not be permissible, including the generation of the abstract or the literature review, for as per Mazahibuna's authorship criteria, the author(s) must be responsible for the work and accountable for its accuracy, integrity, and validity.

b) The generation or reporting of results using a generative AI tool/LLM is not permissible, the author(s) must be responsible for the creation and interpretation of their work and accountable for its accuracy, integrity, and validity.

c) The in-text reporting of statistics using a generative AI tool/LLM is not permissible due to concerns over the authenticity, integrity, and validity of the data produced, although the use of such a tool to aid in the analysis of the work would be permissible.

d) Copy-editing an article using a generative AI tool/LLM in order to improve its language and readability would be permissible as this mirrors standard tools already employed to improve spelling and grammar, and uses existing author-created material, rather than generating wholly new content, while the author(s) remains responsible for the original work.

e) The submission and publication of images created by AI tools or large-scale generative models is not permitted.