Research Workflow
Build a systematic fact-checking workflow for online research. Master lateral reading, source triangulation, and verification for any research context.
You find a statistic online.
It's compelling.
You cite it in your article.
Three months later, someone points out: It's false. Or misinterpreted. Or from a unreliable source.
Your credibility takes a hit.
The speed of online information has outpaced our ability to verify it.
A systematic fact-checking workflow prevents this.
It doesn't take hours. With practice, you can verify a claim in 5–10 minutes.
This guide covers building a fact-checking workflow for research.
One false citation destroys reader trust.
Readers assume: "If they got that wrong, what else is wrong?"
You build an article on a faulty foundation.
Midway through, you discover the foundation is false.
You have to rewrite (wasted hours).
False citations become visible later (Twitter, Reddit, fact-checkers).
Your reputation is damaged permanently.
Spend 5 minutes per claim upfront.
Prevents hours of rework later.
What exactly are you checking?
Example claims:
Be specific about what you're verifying.
Where did the claim come from?
Source types (in order of typical credibility):
Where it came from predicts reliability.
If you found the claim on a blog: Check what the blog cites.
If the blog cites a study: Find that study directly (don't trust the blog's interpretation).
Red flag: Blog cites something, but you can't find the original.
Red flag: Claim is attributed vaguely ("studies show" without specifics).
Don't stay on the original page and read deeply.
Instead: Open multiple tabs quickly.
Search:
Why: You form a quick picture from multiple angles.
Does the claim appear consistently across multiple credible sources?
Examples:
Claim: "Remote work increased productivity 25%"
Check three sources:
Conclusion: Claim is likely reliable (multiple sources, consistent, backed by research).
vs.
Conclusion: Claim is weak (only blogs, no original source).
Even true claims can be misleading out of context.
Example:
Claim: "Unemployment fell 10% last month"
Check context:
Context changes meaning.
Write down:
Example:
Claim: "AI will replace 100 million jobs by 2030"
Sources checked:
- Original source: McKinsey report (2023)
- McKinsey article: "Up to 375 million workers will need to transition" (different from 100M)
- Fact-checker: Snopes rates as MISLEADING
- Other sources: Various interpretations of McKinsey report
Verification: PARTIAL
Caveat: Original claim of 100M is misquote/misinterpretation of McKinsey
Better claim: "McKinsey suggests up to 375M workers may need to transition" (accurate but different number)
Decision: Don't cite the 100M number. Use original McKinsey quote instead.
Who wrote this?
High credibility: Named PhD researcher publishing in reputable journal
Low credibility: Anonymous blog post, no author information
How was this fact-checked before publishing?
High credibility: Peer-reviewed journal
Low credibility: Self-published blog post (no review)
Are sources cited?
High credibility: Extensive citations, transparent methodology
Low credibility: No sources cited
Who benefits from this claim?
High credibility: Academic institution with no financial stake
Low credibility: Company selling the product making claims about product
Is the information current?
Recent fields (AI, tech): 2+ year old research may be outdated
Foundational fields: 10+ year old research often still relevant
You see a screenshot of a claim.
You don't verify if it's real (screenshots can be photoshopped).
Fix: Go to the source directly. Don't trust screenshots alone.
A headline makes a claim.
You cite the headline without reading the article.
The article actually says something different.
Fix: Read the full article before citing.
Study shows: "Remote workers report higher happiness"
You conclude: "Remote work causes happiness"
Actually: Happy people might self-select for remote work.
Fix: Check the methodology. Understand the difference between correlation and causation.
"Studies show..." (which studies?)
"Experts say..." (which experts?)
"It's been reported..." (where?)
Fix: Require specific sources. Ask "reported where?" and "which studies?"
Site looks official (slick design, professional layout).
Actually: Low-credibility source designed to look official.
Fix: Check author credentials, sources, and whether the site is recognized in the field.
Verify if an image is real or doctored.
Verify if a website is legitimate.
Check if a page has been modified.
Professional fact-checkers have done the work:
Search your claim on these sites first.
A fact-checking workflow prevents false citations and credibility damage.
Process:
Benefits:
Start this week:
Pick your next article.
Before submitting, fact-check your top 5 claims:
In a week, your citations will be significantly stronger.
For more on research, see Research Workflow. For searching, check Google Dorking.
Verify first. Cite confidently. Build credibility.
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