Research brief
What public research says about AI assistants and news verification
A source-backed look at sourcing errors, stale answers, and why AI output needs evidence operations before it becomes copy.
Verity's blog is being rebuilt as an operator-grade source room: fewer generic posts, more real research, sharper workflows, and practical evidence patterns for journalists, analysts, compliance teams, researchers, and AI builders.
Editorial rule
Source first
Newsletter shape
One claim per issue
Public posture
No invented metrics
Updated reading list
Research brief
A source-backed look at sourcing errors, stale answers, and why AI output needs evidence operations before it becomes copy.
Operator checklist
A practical checklist for selective truth, missing dates, weak sourcing, and context drift.
Workflow blueprint
A blueprint for moving from scattered tabs to source trails, review states, correction briefs, and audit exports.
Methodology
Consensus can expose disagreement, but sources, freshness, provenance, and human review decide whether a claim is defensible.
Source board
Every public research claim should either cite a source, be visibly framed as Verity's opinion, or be removed. That makes the blog more trustworthy and gives accelerator reviewers fewer reasons to doubt the larger product story.
Global concern about telling true from false online remains high, with Africa and the United States among the highest concern regions.
Public service media organizations found significant issues across many AI assistant news answers, especially sourcing and accuracy.
A useful risk vocabulary for trustworthy, transparent, governable AI workflows.
Posts should say when information was checked and what would make it stale.
Research posts should include the source trail that shaped the conclusion.
Each article should be convertible into a short Evidence Ops Brief issue.