Text & Content Analysis

Context: entity (dover)  |  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
dover
Window
Last 30 days
Articles
2
From
2026-03-13 08:00:34+00
To
2026-03-21 10:00:49+00
Range
2026-02-25 11:37:52.722474+00 β†’ 2026-03-27 11:37:52.722474+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 50.00 πŸ“Š πŸ“° 🧲
theguardian.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.6200 πŸ“Š 🧲
Business, Companies 0.5200 πŸ“Š 🧲
Political Theatre 0.3300 πŸ“Š 🧲
Government 0.2300 πŸ“Š 🧲
Friends and Family 0.1200 πŸ“Š 🧲
Health 0.0900 πŸ“Š 🧲
Technology 0.0700 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 10:00:49+00 Health theguardian.com Trump is eager to disclose details on others’ health – but not his own Analyze Victoria Bekiempis 😐 neutral 0.0513
2026-03-13 08:00:34+00 Politics cnn.com Pete Hegseth wanted an β€˜American Crusade.’ Now he’s leading a war in the Middle East Analyze Zachary B. Wolf 😐 neutral 0.0768