Trends

Context: entity (facebook x linkedin whatsapp)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 2 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
facebook x linkedin whatsapp
Window
Last 30 days
Articles
2
From
Fri, Oct 16 β€’ 11:31 AM EDT
To
Mon, Oct 19 β€’ 10:35 AM EDT
Range
Sun, Sep 20 β€’ 4:15 PM EDT β†’ Tue, Oct 20 β€’ 4:15 PM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
decode39.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.5600 πŸ“Š 🧲
Environment, Climate 0.3800 πŸ“Š 🧲
Business, Companies 0.3400 πŸ“Š 🧲
Civil Unrest, Conflict 0.2900 πŸ“Š 🧲
Political Theatre 0.2500 πŸ“Š 🧲
Food and Beverage 0.1300 πŸ“Š 🧲
Technology 0.0300 πŸ“Š 🧲
Entertainment 0.0300 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-10-19 14:35:29+00 Business decode39.com Business and politics: how Italy drives the transatlantic trade in the U.S. Analyze Decode39 😐 neutral 0.076
2026-10-16 15:31:07+00 Business decode39.com SACE’s $31 billion US portfolio underscores the strength of Italy-US business ties Analyze Decode39 😐 neutral 0.0962