Text & Content Analysis

Context: entity (witkoff)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
witkoff
Window
Last 30 days
Articles
3
From
2026-02-26 02:16:34+00
To
2026-03-12 04:00:36+00
Range
2026-02-25 22:40:11.221542+00 β†’ 2026-03-27 22:40:11.221542+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 3 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 1.2200 πŸ“Š 🧲
Political Theatre 1.1600 πŸ“Š 🧲
Environment, Climate 0.2000 πŸ“Š 🧲
Business, Companies 0.1600 πŸ“Š 🧲
Government 0.1100 πŸ“Š 🧲
Friends and Family 0.0800 πŸ“Š 🧲
Health 0.0300 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-12 04:00:36+00 Politics cnn.com How Trump’s Iran exposure could hand Putin a lottery win Analyze Stephen Collinson 😐 neutral 0.0897
2026-03-03 05:00:34+00 Politics cnn.com Trump’s Iran war message marked by exaggerated threats and shifting, contradictory goals Analyze Jeremy Herb,Zachary Cohen,Natasha Bertrand,Jennifer Hansler,Kylie Atwood 😐 neutral 0.0437
2026-02-26 02:16:34+00 Politics cnn.com Trump risks walking into an Iraq-style trap in Iran Analyze Stephen Collinson 😐 neutral 0.0023