Text & Content Analysis

Context: entity (grok)  |  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
grok
Window
Last 30 days
Articles
2
From
Fri, Sep 4 β€’ 6:37 PM EDT
To
Sun, Sep 20 β€’ 7:30 PM EDT
Range
Tue, Aug 25 β€’ 10:05 AM EDT β†’ Thu, Sep 24 β€’ 10:05 AM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
foxbusiness.com 1 50.00 πŸ“Š πŸ“° 🧲
oaklandside.org 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.1700 πŸ“Š 🧲
Government 0.3600 πŸ“Š 🧲
Environment, Climate 0.1400 πŸ“Š 🧲
Civil Unrest, Conflict 0.1200 πŸ“Š 🧲
Technology 0.0900 πŸ“Š 🧲
Entertainment 0.0500 πŸ“Š 🧲
Political Theatre 0.0500 πŸ“Š 🧲
Friends and Family 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
☹️ Negative 1 πŸ“Š 🧲
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-20 23:30:21+00 Business foxbusiness.com Merriam-Webster welcomes β€˜looksmaxxing,’ β€˜vibe coding’ and β€˜cuffing season’ to new word list Analyze Stepheny Price ☹️ negative -0.0405
2026-09-04 22:37:02+00 Politics oaklandside.org AI-generated ads have come to Oakland politics. Accessible solution Analyze Natalie Orenstein 😐 neutral 0.0831