Ethical Guidelines
The journal follows the CNPq's Policy on Integrity in Scientific Activity, applicable to authors, editors, and reviewers, with the aim of promoting ethics and good practices of quality and transparency from the conception of research to the dissemination of results.
Scientific misconduct is considered to be any conduct by participants in a Research and Development (R&D) process that demonstrates intentional deviation or serious negligence of the integrity, ethical, and methodological standards accepted by the scientific community.
Anti-plagiarism
Plagiarism is considered to be the presentation of results, conclusions, texts, ideas, or data from third parties as if they were one's own, without adequate referencing, including in the exercise of an evaluative function. Self-plagiarism is characterized by the total or partial publication of texts already published by the same author, without reference to the previous publication, resulting in redundancy of publications, distorting the literature or the merit evaluation.
Before being sent for blind review, all manuscripts submitted to the FAARTES Journal will undergo checks to detect possible plagiarism. Authors are responsible for ensuring the originality of the submitted work and for the correct citation of all sources used. By submitting a manuscript, authors declare that the text is original and fully respects good practices of scientific integrity.
When evidence of plagiarism or misuse of material is identified at any stage of the editorial process, the manuscript may be rejected, returned for corrections, or removed, depending on the severity of the case.
Use of Artificial Intelligence (AI)
The FAARTES Journal's guidelines in this area are aligned with the recommendations of international reference bodies in ethics and scientific publication, such as the Committee on Publication Ethics (COPE), and apply to authors, reviewers, and editors:
a) Automated tools cannot be credited as authors or co-authors of manuscripts. Scientific authorship is, therefore, an exclusive attribution of human researchers.
b) The use of AI as technical support in the preparation of the work (grammatical review, translation, editing, formatting, etc.) is permitted, provided it does not compromise the intellectual authorship of the manuscripts. Authors must expressly indicate the use of generative AI when it is used for data collection, image and graph production, database analysis, among other functions related to the support and systematization of elements that served the production of the article.
c) Authors are responsible for verifying the validity of the results of any automated tools used in their research and in the preparation of the manuscript.
d) Editors and reviewers should not use generative AI to evaluate, analyze, or justify the evaluations of works submitted to the journal.
Evaluation Process
Editors and reviewers commit to:
a) conducting evaluations with rigor, objectivity, impartiality, and promptness, observing criteria of scientific, technological, and innovation merit;
b) not discriminating against areas of knowledge, research lines, groups, people, or institutions;
c) safeguard the confidentiality of information, data, and opinions to which they have access, preserving confidentiality regarding authorship, identity of evaluated projects, and other protected information, and are prohibited from using this information for purposes other than evaluation;
d) identify and distance themselves from situations that characterize a conflict of interest (kinship, institutional, professional, or collaborative ties, academic supervision relationship, personal motivations, or any condition that may compromise the impartiality of the judgment).
