New Insights AI-Powered Manuscript Screening

In today’s publishing environment, journals and institutions are increasingly concerned about:

• Extensive use of AI-generated text in manuscripts.

• The clarity, coherence, and academic tone of the writing.

• Potential plagiarism, high similarity, or improper citation.

• Inconsistencies between research design, data, and conclusions

New Insights Press integrates professional AI tools into its editorial workflow to perform multi-dimensional checks. The goal is not to "package" manuscripts, but to improve academic quality, enhance transparency, and reduce AI-related risks, helping authors better meet international peer-review standards.

AI tools are used as assistive instruments, never as a substitute for academic judgment. They mainly support:

• Language and Structural Review:

  Detecting grammar issues, spelling errors, repetitive phrasing, and unnatural expressions.

  Flagging unclear logic, weak transitions, or disorganized structure.

  Helping authors achieve a clearer, more coherent and scholarly style.

• Similarity and Citation Risk Alerts:

  Working alongside similarity-check tools to highlight highly overlapping passages.

  Reminding authors to add citations or correct references where needed.

  Reducing unnecessary risks related to plagiarism or improper reuse.

• AI-Generated Content Risk Assessment:

  Using multiple models to evaluate AI-related risk and identify sections that may rely too heavily on generative AI.

  Encouraging authors to rewrite, strengthen empirical support, or deepen argumentation in those parts, ensuring that the core of the paper reflects genuine research and original thinking.

  Supporting authors in disclosing AI use where appropriate, in line with emerging journal policies.

• Consistency Checks (Supportive):

  Reviewing basic consistency between tables, figures, and textual descriptions.

  Flagging obviously conflicting statements, unit errors, or suspicious numerical patterns.

  AI tools provide preliminary flags; experienced editors with subject-matter expertise always review, interpret, and finalize the assessment.

New Insights follows an "AI pre-screening + in-depth editorial review" model:

• AI Pre-Screening:

  The full manuscript is scanned for language, structure, similarity, and AI risk.

  An internal report is generated, highlighting sections that require attention.

• Expert Editorial Assessment:

  Editors with relevant expertise read the manuscript and refine the AI report.

  They provide discipline-specific feedback aligned with journal standards.

• Feedback to Authors:

  Authors receive clear, actionable comments.

  They are informed where empirical support, argumentation, or reduction of "AI traces" is needed.

• Optional Re-Check:

  After revision, authors may request a follow-up check.

  The aim is to confirm that AI-related risk has been lowered and that the manuscript reads more naturally and substantively.

With New Insights’ AI-assisted screening and editorial support, authors can:

• Detect potential problems before submission and reduce the likelihood of rejection or major revision.

• Avoid negative impressions caused by overly mechanical or AI-like language.

• Present research questions, methods, and findings more clearly and convincingly.

• Improve overall quality and international readability while respecting academic ethics.

• We encourage authors to treat AI tools as instruments to refine and clarify their work — not as shortcuts that replace genuine research.

• All manuscripts are handled in a confidential environment and are not used to train external models.

• We comply with New Insights Press Ethics & Disclosures and Permissions & Licensing (CC BY 4.0) policies.

• AI assessment results are used solely for internal editorial purposes and author communication, and are not shared with third parties.