Text & Content Analysis

Context: entity (a couple of months earlier)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 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
a couple of months earlier
Window
Last 24h
Articles
1
From
2026-09-14 13:48:00+00
To
2026-09-14 13:48:00+00
Range
2026-09-13 20:41:54.188105+00 β†’ 2026-09-14 20:41:54.188105+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
popsci.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 0.6100 πŸ“Š 🧲
Government 0.1600 πŸ“Š 🧲
Business, Companies 0.1200 πŸ“Š 🧲
Civil Unrest, Conflict 0.0700 πŸ“Š 🧲
Environment, Climate 0.0400 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-14 13:48:00+00 Science popsci.com What happens when driverless cars break the law? Analyze Mack DeGeurin 😐 neutral 0.0857