Text & Content Analysis

Context: entity (us senate)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 4 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 30 days
Articles
4
From
2026-08-05 14:39:45+00
To
2026-08-22 14:00:00+00
Range
2026-08-02 14:15:08.067764+00 β†’ 2026-09-01 14:15:08.067764+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 2.4400 πŸ“Š 🧲
Political Theatre 0.8300 πŸ“Š 🧲
Civil Unrest, Conflict 0.2800 πŸ“Š 🧲
Business, Companies 0.1800 πŸ“Š 🧲
Environment, Climate 0.1600 πŸ“Š 🧲
Technology 0.0400 πŸ“Š 🧲
Entertainment 0.0300 πŸ“Š 🧲
Friends and Family 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 4 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-08-22 14:00:00+00 Politics wfae.org Political parties see high stakes in NC Supreme Court election Analyze Sarah Michels | Carolina Public Press 😐 neutral 0.0578
2026-08-19 03:05:16+00 Politics cnn.com Key takeaways from Tuesday’s primaries in Florida, Alaska and Wyoming Analyze Eric Bradner 😐 neutral 0.1238
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