NexaAssist Journal of Inclusive Technology (NAJIT) is committed to maintaining originality, proper attribution, academic honesty, and integrity in scholarly publication. All submitted manuscripts are subject to plagiarism and similarity screening as part of the journal's editorial evaluation before publication.
Similarity screening helps identify potentially overlapping text, unattributed material, inappropriate paraphrasing, duplicate publication, undisclosed text recycling, and other forms of scholarly overlap that may require further editorial assessment. Particular attention is given to research in assistive technology, digital accessibility, inclusive educational technology, and disability-related technological innovation.
Manuscripts may be examined using appropriate similarity-detection software and editorial assessment. Screening is normally conducted during the initial editorial evaluation and may be repeated when necessary before manuscript acceptance or publication.
The NAJIT Editorial Team evaluates similarity reports together with the manuscript itself. Editorial assessment considers the source, location, nature, extent, and scholarly significance of overlapping material rather than relying exclusively on numerical similarity indicators.
The screening process may examine:
- Verbatim copying without appropriate quotation, acknowledgment, or citation.
- Inadequate, misleading, or unattributed paraphrasing of another author's work.
- Unauthorized or unattributed use of research ideas, arguments, data, tables, figures, images, diagrams, software, or source code.
- Substantial textual overlap with previously published work by the same authors without proper citation or transparent disclosure.
- Duplicate, redundant, or overlapping publication of substantially the same research findings.
- Similarity concentrated in the introduction, methodology, results, discussion, or other substantive sections of a manuscript.
- Patterns of overlap that may compromise research originality, intellectual ownership, or publication integrity.
For manuscripts involving assistive devices, accessible applications, adaptive learning systems, artificial intelligence, or software development, authors must appropriately acknowledge previously developed technologies, reused datasets, algorithms, software libraries, design frameworks, accessibility instruments, and other intellectual contributions.
Text similarity reports do not necessarily identify plagiarism involving source code, technical designs, datasets, or visual materials. Such concerns may require additional editorial assessment, technical comparison, or verification of the relevant sources.
NAJIT does not determine plagiarism solely on the basis of a numerical similarity percentage. A similarity score must be interpreted in context, because legitimate overlap may arise from references, standardized terminology, methodological descriptions, properly quoted material, institutional names, or commonly used academic expressions.
Conversely, a manuscript with relatively low overall similarity may still contain serious plagiarism when substantial unattributed material appears in an important section. Editorial judgment therefore considers both the quantity and scholarly significance of textual overlap.
Authors are responsible for ensuring that their manuscripts represent original scholarly work and that all materials derived from external sources are properly acknowledged.
- Direct quotations must be clearly identified and appropriately cited.
- Paraphrased ideas, concepts, and arguments must acknowledge their original sources.
- Previously published work by the authors must be cited and disclosed where relevant.
- Figures, tables, images, datasets, research instruments, software, and third-party materials must be used in accordance with copyright and licensing requirements.
- Reuse of software components, algorithms, accessibility tools, or technological designs must be properly acknowledged when applicable.
- Authors must not manipulate or rephrase borrowed intellectual content merely to reduce similarity-detection results.
When problematic overlap is identified, the Editorial Team may take appropriate action based on its nature, extent, seriousness, and implications for scholarly integrity.
- Request clarification or supporting documentation from the authors.
- Require corrections to citations, quotations, paraphrasing, or acknowledgment statements.
- Return the manuscript for revision before external peer review.
- Reject manuscripts containing substantial plagiarism or duplicate publication.
- Suspend editorial processing while research integrity concerns are investigated.
- Apply post-publication measures, including correction, expression of concern, or retraction, when warranted.
Reuse of previously published text, datasets, figures, results, or substantial intellectual content must be transparent, appropriately cited, and consistent with applicable licensing conditions. Excessive or undisclosed text recycling, duplicate publication, and redundant publication may constitute misconduct when they misrepresent the originality or scholarly contribution of a manuscript.
The use of artificial intelligence or automated writing tools does not remove authors' responsibility for originality, appropriate citation, factual accuracy, methodological transparency, and research integrity. AI-assisted rewriting must not be used to conceal plagiarism, fabricate references, misrepresent research findings, or manipulate similarity-detection results. Authors should disclose relevant AI assistance in accordance with the journal's publication ethics policy.
NexaAssist Journal of Inclusive Technology (NAJIT) evaluates plagiarism and scholarly overlap through similarity screening combined with informed editorial judgment . The purpose of screening is not merely to achieve a particular similarity percentage, but to ensure originality, proper attribution, transparent scholarship, and the integrity of the academic record.