Norm + AI. An AI-based full-coverage review system
that automates editorial self-review for online newspapers.
WHY NORMIA
129 media outlets have signed the INS self-regulation pledge. Managing this growing base with traditional methods is no longer feasible.
Tens of thousands of articles are published every day. Reviewing all of them with human reviewers alone is physically impossible.
Improving the credibility of online news requires systematic quality control. Self-regulation is the cornerstone of earning reader trust.
CURRENT LIMITATIONS
Only a tiny fraction of all articles is sampled and reviewed. The vast majority of violating articles remain in the review blind spot.
Review committee members read and judge articles by hand. Daily throughput is limited, and fatigue-driven judgment errors are inevitable.
Review criteria vary by individual. Different reviewers can reach different conclusions on the same article.
SOLUTION
Manual Review
AI-Powered Full-Coverage Review
PIPELINE
Fully automated from RSS collection to dashboard reporting.
Real-time monitoring of
RSS feeds from 50+ media
High-speed primary screening
via keywords and patterns
In-depth violation analysis
by Large Language Model
Violation stats & details for
committee member review
Regex and keyword matching quickly classify clear violation candidates. Processing time: under 0.1 seconds per article. Cuts unnecessary LLM calls and reduces cost.
A Large Language Model reads the full article and judges violations across 14 categories, with contextual understanding and nuance detection.
Violation detection results are shown on a real-time dashboard. Committee members review the AI analysis and make the final judgment.
ADVANTAGES
Every published article is analyzed, not just a sample. The review blind spot is eliminated at its root.
AI analyzes a single article across 14 categories in an average of 4.3 seconds.
From Misinformation (A) to International Reporting Ethics (N) — 14 categories aligned with INS guidelines.
AI handles primary screening, freeing committee members to focus on cases that truly require human judgment.
Provided at no extra cost to pledged members thanks to in-house infrastructure and an optimized LLM pipeline.
AI is a screening tool. The final judgment is always made by a human review committee member.
14 CATEGORIES
14 categories based on INS self-regulation guidelines.
Spreading inaccurate information
One-sided or biased reporting
Clickbait or exaggerated headlines
Missing citation of sources
Provocative language or imagery
Privacy breaches or defamation
Group-based bias or hate speech
Glamorization or risk of copycat
Disaster-reporting ethics violations
Minor-protection violations
Undisclosed ads or sponsorships
Unauthorized reproduction
Violation of basic reporting principles
Violation of international reporting norms
DASHBOARD
An intuitive dashboard for review committee members. See the full violation landscape at a glance and drill into any case instantly.
PRINCIPLES
Its role is to surface potentially violating articles to committee members. It does not issue automatic sanctions or final verdicts.
All final violation decisions rest with the review committee. AI analysis is only a reference, never the verdict.
LLM-based analysis understands the full context of an article rather than relying on simple keyword matching, minimizing false positives.
FAQ
Check the live analysis status on the dashboard.