Text & Content Analysis

Context: entity (new york magazine)  |  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
new york magazine
Window
Last 7 days
Articles
2
From
2026-06-01 14:13:00+00
To
2026-06-07 10:00:31+00
Range
2026-05-31 18:43:02.360837+00 β†’ 2026-06-07 18:43:02.360837+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.6000 πŸ“Š 🧲
Environment, Climate 0.4700 πŸ“Š 🧲
Business, Companies 0.3600 πŸ“Š 🧲
Civil Unrest, Conflict 0.3300 πŸ“Š 🧲
Government 0.2200 πŸ“Š 🧲
Friends and Family 0.0200 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
2026-06-07 10:00:31+00 Politics theguardian.com β€˜A driver of political violence’: how the breakneck AI boom is fueling anti-tech extremism Analyze Nick Robins-Early 😐 neutral -0.0137
2026-06-01 14:13:00+00 Science popsci.com Fire dozers outfitted with NASA-made sensors help battle blazes Analyze Mack DeGeurin 😐 neutral 0.1268