Text & Content Analysis

Context: entity (princeton)  |  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
princeton
Window
Last 30 days
Articles
2
From
Tue, Sep 15 β€’ 10:36 AM EDT
To
Mon, Sep 21 β€’ 8:37 AM EDT
Range
Mon, Aug 24 β€’ 3:16 AM EDT β†’ Wed, Sep 23 β€’ 3:16 AM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
engineering.princeton.edu 1 50.00 πŸ“Š πŸ“° 🧲
theconversation.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 0.4900 πŸ“Š 🧲
Business, Companies 0.4800 πŸ“Š 🧲
Government 0.3700 πŸ“Š 🧲
Environment, Climate 0.2700 πŸ“Š 🧲
Political Theatre 0.2200 πŸ“Š 🧲
Health 0.1200 πŸ“Š 🧲
Friends and Family 0.0300 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
2026-09-21 12:37:07+00 Politics theconversation.com How red went from the color of revolution to the color of Republicans in US politics Analyze Andrew Latham 😐 neutral 0.0868
2026-09-15 14:36:06+00 Health engineering.princeton.edu Princeton Engineering - Beyond air pollution: Study reveals India’s hidden urban health risks Analyze Molly Sharlach 😐 neutral 0.0974