Text & Content Analysis

Context: entity (grist)  |  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
grist
Window
Last 30 days
Articles
2
From
Thu, Sep 3 β€’ 4:30 AM EDT
To
Tue, Sep 29 β€’ 4:45 AM EDT
Range
Sun, Aug 30 β€’ 9:01 PM EDT β†’ Tue, Sep 29 β€’ 9:01 PM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
grist.org 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.7600 πŸ“Š 🧲
Government 0.4600 πŸ“Š 🧲
Technology 0.3600 πŸ“Š 🧲
Business, Companies 0.2800 πŸ“Š 🧲
Friends and Family 0.1100 πŸ“Š 🧲
Civil Unrest, Conflict 0.0200 πŸ“Š 🧲
Political Theatre 0.0100 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
2026-09-29 08:45:00+00 Politics grist.org How elite universities got tangled up in politics and petroleum Analyze Kate Yoder 😐 neutral 0.0714
2026-09-03 08:30:00+00 Science grist.org Fiber optic cables reveal β€˜icequakes’ in endangered glaciers Analyze Matt Simon 😐 neutral 0.1428