Trends

Context: entity (lauren french)  |  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
lauren french
Window
Last 30 days
Articles
2
From
Sat, Oct 3 β€’ 11:59 PM EDT
To
Fri, Oct 9 β€’ 4:34 PM EDT
Range
Sat, Sep 12 β€’ 9:12 AM EDT β†’ Mon, Oct 12 β€’ 9:12 AM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 50.00 πŸ“Š πŸ“° 🧲
inquirer.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.9200 πŸ“Š 🧲
Political Theatre 0.3000 πŸ“Š 🧲
Environment, Climate 0.2900 πŸ“Š 🧲
Business, Companies 0.2900 πŸ“Š 🧲
Friends and Family 0.1500 πŸ“Š 🧲
Civil Unrest, Conflict 0.0500 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
2026-10-09 20:34:50+00 Politics cnn.com Democrats believe they have a real chance at flipping four states Trump won by double digits Analyze Sarah Ferris 😐 neutral 0.1159
2026-10-04 03:59:00+00 Politics inquirer.com β€˜She’s one of us’: Mary Peltola’s bumpy rise to political power Analyze Michael Kruse 😐 neutral 0.0872