Prompt
How do I ensure my fact-checking workflow with research databases is compliant when using cited sources and editorial review?
Latest observation
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:
- primary sources
- official records/data
- peer-reviewed or reputable secondary sources
- 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:
- claim intake
- source search
- source verification
- citation capture
- editor review
- legal/standards review if needed
- publication approval
- 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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How did Obsurfable measure this prompt?
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.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.