Citation Integrity™ 101 · Module 3 of 9
Who, specifically, is standing behind this claim?
A source can be reputable and still publish a claim that no qualified person actually stands behind. Entity Authority looks past the publication to the author or organization making the specific claim.
Module 3
What Entity Authority checks
This Dimension checks authorship, institutional affiliation, declared expertise and prior reliability.
A source is only as strong as the entity standing behind the specific claim being made — a publication’s overall reputation doesn’t automatically transfer to every byline it runs.
Worked examples
The same claim, two different outcomes.
Concrete cases are the fastest way to see how this Dimension behaves in practice.
Fails
An article about tax law strategy carries no listed author at all — no name, no credentials, no affiliation to evaluate.
Passes
The same claim, bylined by a CPA with two decades in tax practice, with their credentials disclosed on the page. The claim now has a specific, qualified entity accountable for it.
Quick check
Two questions before you move on.
Ungraded and untracked — just a comprehension nudge.
1What does Entity Authority evaluate that Source Authority doesn’t?
2Can a reputable publication still fail Entity Authority on a specific article?
Finish this module
Mark it complete and keep going.
Your progress
Citation Integrity™ 101
- What Citation Integrity™ Means (and Why It Matters)The framework, the four decisions, and the judgment AI systems already make.
- Source AuthorityIs the source itself credible and appropriate for the subject?
- Entity AuthorityYou are hereIs the person or organization behind the claim qualified and dependable?
- Organizational ProbityVerified information about conduct and standing that affects reliance.
- Evidence & CitationsCan claims be substantiated, and do cited sources actually support them?
- First-Hand ExperienceDirect knowledge, testing and original evidence.
- Content QualityAccurate, complete, specific, current, consistent and appropriately qualified.
- Technical AccessibilityCan AI systems reliably discover, parse and attribute the information?
- Integrity AnalysisEverything together: should the information be relied upon and cited?