Prompt

How do I ensure my fact-checking workflow with research databases is compliant when using cited sources and editorial review?

Latest observation

Jul 21, 2026 · OpenAI APIWeb search: off

To keep a fact-checking workflow compliant when using research databases, cited sources, and editorial review, focus on four areas: rights, accuracy, traceability, and process controls.

1) Know the database and source-license terms

  • Check the terms of service for each research database.
  • Confirm whether you can:
    • Quote text and for how much
    • Redistribute excerpts or PDFs
    • Use content internally only vs. publish it
    • Store or archive retrieved documents
  • Some databases allow reading and citation but restrict copying, scraping, bulk export, or republication.

2) Use citations that match the original material

  • Cite the original source, not just the database record, whenever possible.
  • Include enough bibliographic detail to make the source traceable:
    • author
    • title
    • publication date
    • publisher/journal
    • page number or section
    • DOI/URL if applicable
  • If you rely on a database abstract or metadata, verify it against the underlying source when possible.

3) Maintain a clear audit trail

  • Keep a research log showing:
    • what was checked
    • where it was found
    • when it was accessed
    • what exact passage or data point supports the claim
    • who reviewed it
  • Save screenshots, PDFs, or notes only if your licensing and retention rules allow it.
  • Version-control your drafts so editors can see what changed and why.

4) Separate research, drafting, and editorial judgment

  • The fact-checker should verify claims against authoritative sources.
  • The editor should review:
    • whether the citation actually supports the claim
    • whether language is fair and non-misleading
    • whether legal or ethical issues arise from quoting or paraphrasing
  • Require a second review for sensitive claims, especially:
    • legal
    • medical
    • financial
    • personal-defamation-related statements

5) Use quotations and paraphrases carefully

  • Quote only what is necessary.
  • Don’t alter meaning with partial quotes or selective omission.
  • Paraphrase accurately and keep the original context.
  • If you use AI-assisted summaries, verify them against the source before publication.

6) Build a source-quality hierarchy

Prefer:

  1. primary sources
  2. official records/data
  3. peer-reviewed or reputable secondary sources
  4. database summaries only as a starting point

For contentious claims, use at least one primary or official source.

7) Add compliance checkpoints to the workflow

A simple compliant workflow could be:

  1. claim intake
  2. source search
  3. source verification
  4. citation capture
  5. editor review
  6. legal/standards review if needed
  7. publication approval
  8. archive of what was relied upon

8) Train staff on policy and copyright basics

Make sure everyone knows:

  • what counts as acceptable quoting
  • when permission is needed
  • how to handle confidential or paywalled material
  • how to avoid plagiarism and misattribution

9) When in doubt, escalate

If a source is:

  • licensed with restrictions
  • confidential
  • potentially defamatory
  • heavily quoted
  • from a database with unclear rights

then consult legal counsel or your compliance team before publication.

Practical checklist

Before publishing, ask:

  • Did I verify the claim against an authoritative source?
  • Am I allowed to use and reproduce this material?
  • Does my citation accurately identify the source?
  • Is the quote/context faithful?
  • Is there an audit trail?
  • Has editorial review confirmed the support for the claim?

If you want, I can turn this into a one-page compliance checklist or a step-by-step SOP for fact-checking teams.

Observation history

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Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

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