Text & Content Analysis

Context: entity (donald trump election)  |  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
donald trump election
Window
Last 24h
Articles
1
From
Fri, Sep 25 β€’ 1:49 PM EDT
To
Fri, Sep 25 β€’ 1:49 PM EDT
Range
Thu, Sep 24 β€’ 9:02 PM EDT β†’ Fri, Sep 25 β€’ 9:02 PM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.6000 πŸ“Š 🧲
Political Theatre 0.3200 πŸ“Š 🧲
Environment, Climate 0.0400 πŸ“Š 🧲
Business, Companies 0.0400 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
2026-09-25 17:49:45+00 Politics cnn.com Why the 2026 election could be the worst midterm for the GOP this century Analyze Aaron Blake 😐 neutral 0.0466