Text & Content Analysis

Context: entity (a dozen 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
a dozen years
Window
Last 24h
Articles
1
From
Mon, Sep 21 β€’ 2:45 AM EDT
To
Mon, Sep 21 β€’ 2:45 AM EDT
Range
Sun, Sep 20 β€’ 12:06 PM EDT β†’ Mon, Sep 21 β€’ 12:06 PM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.3400 πŸ“Š 🧲
Government 0.2900 πŸ“Š 🧲
Technology 0.2200 πŸ“Š 🧲
Environment, Climate 0.1000 πŸ“Š 🧲
Health 0.0300 πŸ“Š 🧲
Civil Unrest, Conflict 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
2026-09-21 06:45:00+00 Politics coloradopolitics.com Accelerating AI creates need to nurture a constituency for β€˜anticipatory democracy’ Analyze Miller Hudson 😐 neutral 0.0576