Corrections Policy

NarrativeRadar analysis is not static. Events are automatically re-analyzed as new articles arrive from monitored sources. When an event receives new coverage, the system regenerates its summary, facts, narratives, scenarios, and market exposure based on all available information.

Each event page shows how many times it has been re-analyzed (the "Updated Nx" badge) and displays three timestamps: when the event was first detected, when the latest article was linked, and when AI last analyzed it.

Because analysis is regenerated from source articles rather than written once and published, most errors are corrected automatically when:

• New articles provide more accurate or complete information, causing the AI to produce an updated summary and revised facts.
• Additional sources from different information blocks are linked to the event, improving narrative balance and coverage.
• The event is upgraded to a higher analysis tier (e.g., from Brief to Standard to Deep Analysis) as source coverage grows.

When an event is re-analyzed, the previous version is replaced entirely. NarrativeRadar does not publish corrections as separate notices — the analysis itself is the latest and most complete version available.

When two events are determined to cover the same development, they are merged into a single canonical event. The absorbed event's URL is permanently redirected (301) to the surviving event, preserving any external links. All articles from both events are combined, and the merged event is re-analyzed with the full set of sources.

When insufficient data exists to produce meaningful analysis, NarrativeRadar explicitly abstains rather than guess. Fields may read "Insufficient data", "Narrative divergence unclear", or "Event not yet stable". An empty field is more honest than an inaccurate one. See our editorial policy for details.

All AI-generated analysis is constrained by editorial rules that prevent common errors:

• Facts must be observable and shared across sources — no single-source claims in the facts layer
• Narratives must be attributed to specific information blocks — no unattributed interpretations
• Scenarios must use conditional "If X holds..." structure — no predictions presented as certainties
• Market exposure requires a genuine causal mechanism — no speculative financial connections
• Low-relevance events receive minimal analysis to avoid forced content

If you notice inaccurate information, a misattributed narrative, or any other error in our analysis, please report it through our contact page or use the feedback button on any event page. Include the event URL and a description of the issue. We review all reports and will re-analyze the event if warranted.