Text & Content Analysis

Context: entity (us senate)  |  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
us senate
Window
Last 24h
Articles
2
From
2026-08-05 14:39:45+00
To
2026-08-05 15:31:28+00
Range
2026-08-04 23:19:13.847781+00 β†’ 2026-08-05 23:19:13.847781+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
bbc.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
Government 0.9800 πŸ“Š 🧲
Political Theatre 0.5700 πŸ“Š 🧲
Civil Unrest, Conflict 0.2400 πŸ“Š 🧲
Environment, Climate 0.1000 πŸ“Š 🧲
Business, Companies 0.1000 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
2026-08-05 15:31:28+00 Politics theguardian.com Progressive climate organizer William Lawrence wins Michigan Democratic House primary Analyze Dharna Noor 😐 neutral 0.1288
2026-08-05 14:39:45+00 Politics bbc.com Left-wing political outsider Abdul El-Sayed wins Democratic Senate primary in Michigan Analyze bbc.com 😐 neutral 0.1459