Trends

Context: entity (20 billion)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 articles

This page analyzes how a selected category, entity, or narrative frame appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.

Corpus KPIs

Entity
20 billion
Window
Last 7 days
Articles
1
From
Tue, Oct 6 β€’ 12:01 AM EDT
To
Tue, Oct 6 β€’ 12:01 AM EDT
Range
Thu, Oct 1 β€’ 9:54 AM EDT β†’ Thu, Oct 8 β€’ 9:54 AM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Political Theatre 0.3900 πŸ“Š 🧲
Civil Unrest, Conflict 0.2400 πŸ“Š 🧲
Environment, Climate 0.1000 πŸ“Š 🧲
Government 0.1000 πŸ“Š 🧲
Business, Companies 0.1000 πŸ“Š 🧲
Technology 0.0500 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-10-06 04:01:45+00 Politics cnn.com Trump may be in political trouble. But Trump-style global populism isn’t Analyze Stephen Collinson 😐 neutral 0.0438