Text & Content Analysis

Context: entity (republicans)  |  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
republicans
Window
Last 24h
Articles
2
From
Thu, Sep 24 β€’ 5:30 AM EDT
To
Thu, Sep 24 β€’ 10:00 AM EDT
Range
Wed, Sep 23 β€’ 11:55 PM EDT β†’ Thu, Sep 24 β€’ 11:55 PM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
courant.com 1 50.00 πŸ“Š πŸ“° 🧲
news.cornell.edu 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.1400 πŸ“Š 🧲
Business, Companies 0.5600 πŸ“Š 🧲
Technology 0.1600 πŸ“Š 🧲
Environment, Climate 0.0400 πŸ“Š 🧲
Political Theatre 0.0400 πŸ“Š 🧲
Friends and Family 0.0300 πŸ“Š 🧲
Civil Unrest, Conflict 0.0200 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
2026-09-24 14:00:00+00 Politics news.cornell.edu Jenga and the U.S. census: Way more than just counting people Analyze Tom Fleischman, Cornell Chronicle 😐 neutral 0.0691
2026-09-24 09:30:52+00 Health courant.com Healthcare clash emerges on CT campaign trail. Businesses say it’s the biggest issue in the state. Analyze Christopher Keating 😐 neutral 0.0535