Text & Content Analysis

Context: entity (eight years)  |  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
eight years
Window
Last 30 days
Articles
1
From
2026-08-01 14:00:00+00
To
2026-08-01 14:00:00+00
Range
2026-07-02 18:49:41.39625+00 β†’ 2026-08-01 18:49:41.39625+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.4200 πŸ“Š 🧲
Political Theatre 0.1900 πŸ“Š 🧲
Business, Companies 0.1800 πŸ“Š 🧲
Civil Unrest, Conflict 0.1000 πŸ“Š 🧲
Entertainment 0.0400 πŸ“Š 🧲
Technology 0.0300 πŸ“Š 🧲
Environment, Climate 0.0300 πŸ“Š 🧲
Food and Beverage 0.0100 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
2026-08-01 14:00:00+00 Politics rollingstone.com Abdul El-Sayed, Haley Stevens Battle in Michigan Senate Primary Analyze Stephen Rodrick 😐 neutral 0.148