Policy on Plagiarism

Zero tolerance for plagiarism

What is plagiarism: It involves the use of another person’s words, ideas, data or work without acknowledging them. This includes copying directly, paraphrasing without acknowledgement and pretending that someone else’s study is yours.

How to detect it: LLP uses machine learning algorithms and software for plagiarism detection. These tools help in identifying different types of plagiarism such as verbatim copying, poor paraphrasing and recycling of old work.

If manuscripts are found with plagiarized content, these become immediately rejected. Authors may be banned from submitting further manuscripts to LLP if any cases of plagiarism are detected.

The Process of Dealing with Plagiarism

Initial Review: All submissions go through a plagiarism detection software to identify possible instances of plagiarism.

Editors’ Assessment: An editors’ team does an extensive review to ascertain whether there has been copyright infringement or not. Some authors may be asked for clarification or additional materials.

Final Decision: Once it has been confirmed that an article contains plagiarized content it will be removed. Authors receive notification about this decision together with a comprehensive report about findings made by editors.

AI Policies

Manuscript Creation using Artificial Intelligence

Appropriate Uses – LLP recognizes the increasing role played by artificial intelligence in research and writing. Manuscripts generated through AI-assisted means can be accepted only if they meet all publication requirements such as being original, novel and having good quality.

Declaration – Authors must indicate the utilization of AI tools during their script preparation process which encompasses stating what specific AI tools were used as well as showing how much they contributed towards completing the manuscript.

Score on AI Usage

Quality and Originality – Manuscripts with input from AI will be rated according to scientific soundness, clarity and creativity. These manuscripts must maintain their quality and novelty despite use of AI.

Assessment – LLP employs first-rate machine learning models for evaluating contents generated by artificial intelligence. The aim is to know the extent of AI in a manuscript while ensuring that this work adheres to ethical standards.

Ethical Considerations

• Openness – It is important to be transparent about the use of AI tools. Authors should ensure that such content is original and properly acknowledged.
• Editorial Control – Manuscripts with AI-generated content must go through extensive human review to make sure they are correct, logically consistent, and conform to acceptable academic standards. For specifically these manuscripts, editors and reviewers assess whether the content is original and of good quality.

Detection for Manipulation Generated By Artificial Intelligence

Advanced Measures: This involves using modern-day machine learning models by LLP in identification of manipulation or even creation of data through AI programs as shown by patterns suggesting activity related with generation, amendment or fabrication of case studies using artificial intelligence methods.

Human Confirmation: Although not always necessary, they can however be reviewed by specialists who can provide an opinion on the validity of research findings as well as the integrity of collected data whenever there are suspicions around any case involving manipulation from AI sources.

Criteria for Scholarly Publishing

High Standards – All papers submitted irrespective of AI assistance must meet high publishing standards at LLP which include creating significant knowledge in their field, being methodologically sound, and observing ethical norms in conducting research.

Peer Review Process: Manuscripts are usually subjected to double-blind peer review so that no prejudice or partiality is encountered. Reviewers look into scientific merit and ethical concerns involved in study protocols applied herein.

Authorship Responsibilities

Adherence: Authors need to make sure that any submissions they make are done according to Lumina Literati Publishing’s (LLP) plagiarism policies as well as its policies on artificial intelligence (AI). This encompasses providing truthful disclosure and maintaining ethical conduct during the course of their investigations.

Corrections: They uncover errors in their manuscripts and correct them as quickly as possible. These could include plagiarism, AI use, or data integrity issues.

Through compliance with these policies, Lumina Literati Publishing guarantees the publication of authentic quality research work while accommodating innovative application of AI in scholarship. The credibility and transparency we maintain remain the basis upon which our academic community trusts us and sets the bar for publishing excellence.