Automating Your Editorial First Line: A Protocol for AI & Integrity Checks

As an independent journal editor, your time is precious. The deluge of submissions means you can't afford to manually scrutinize every manuscript for scope, plagiarism, and image integrity before deciding on peer review. This initial triage is critical but tedious.

Build a Consistent Decision Protocol

The core principle is systematic efficiency. Your goal isn't to perform a deep scientific review at this stage, but to quickly filter out submissions that clearly fail your journal's basic ethical, formal, and scope requirements. This respects your reviewers' time and ensures only manuscripts with a non-trivial chance of acceptance move forward. The key is a transparent, repeatable checklist.

Your protocol should answer three sequential questions:

1. Is this manuscript a fit for our journal's published aims and scope? (Strong No = desk-reject with a polite, standard template).
2. Does it meet the minimum threshold for language, structure, and formal completeness? (Check for key sections, legible figures, rough reference style).
3. Have the initial AI/originality and image checks raised serious, unaddressed concerns?

Scenario: A submission passes scope checks. Your automated iThenticate report, however, flags high-text plagiarism in key sections. Coupled with a high AI-probability score and a lack of novel data, this provides a clear, documented rationale for a prompt desk-reject.

Implementing Automated Screening

1. Integrate Automated Tools: Use a plagiarism checker like iThenticate for initial text-similarity screening. For image forensics, employ a tool like ImageTwin or Proofig to automatically flag potential duplications or manipulations in submitted figures. These provide the objective reports your protocol requires.
2. Define Your Clear Thresholds: Decide what constitutes a "High-Text Plagiarism" percentage for your field and what image manipulation findings are unequivocal. Also, define what combination of "High AI-Probability Flag + Low Originality" is untenable.
3. Document & Execute: For each decision, briefly note which protocol checkpoint was failed. Be polite but firm using your standard template, and be prompt. Do not provide detailed scientific critique here.

By automating these initial checks and adhering to a clear protocol, you transform a subjective chore into an efficient, defensible process. You protect your journal's integrity, conserve valuable reviewer resources, and accelerate your editorial workflow. The result is a more robust and respected publication.