Text & Content Analysis

Context: entity (follow trump)  |  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
follow trump
Window
Last 30 days
Articles
2
From
2026-03-04 13:13:25+00
To
2026-03-21 00:08:02+00
Range
2026-02-25 08:32:01.958394+00 β†’ 2026-03-27 08:32:01.958394+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.6300 πŸ“Š 🧲
Political Theatre 0.4900 πŸ“Š 🧲
Civil Unrest, Conflict 0.4300 πŸ“Š 🧲
Environment, Climate 0.3200 πŸ“Š 🧲
Business, Companies 0.0700 πŸ“Š 🧲
Health 0.0600 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
2026-03-21 00:08:02+00 Politics cnn.com Why the Trump administration is easing sanctions on certain Iranian oil stockpiles Analyze Adam Cancryn 😐 neutral 0.0389
2026-03-04 13:13:25+00 Politics cnn.com US air defenses may not be able to intercept many of Iran’s one-way drones Analyze Natasha Bertrand,Kylie Atwood,Sarah Ferris,Piper Hudspeth Blackburn 😐 neutral 0.0515