Text & Content Analysis

Context: entity (politics vance)  |  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
politics vance
Window
Last 30 days
Articles
1
From
2026-03-16 23:08:58+00
To
2026-03-16 23:08:58+00
Range
2026-03-07 16:40:17.052848+00 β†’ 2026-04-06 16:40:17.052848+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Political Theatre 0.5000 πŸ“Š 🧲
Business, Companies 0.2400 πŸ“Š 🧲
Government 0.1600 πŸ“Š 🧲
Civil Unrest, Conflict 0.0900 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
2026-03-16 23:08:58+00 Politics detroitnews.com Vance trusts Trump won't repeat past war mistakes in Iran Analyze Humeyra Pamuk and Bo Erickson, The Detroit News 😐 neutral 0.0966