Text & Content Analysis

Context: entity (down)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
down
Window
Last 30 days
Articles
3
From
2026-08-18 05:20:52+00
To
2026-08-30 16:30:00+00
Range
2026-08-14 04:46:46.166408+00 β†’ 2026-09-13 04:46:46.166408+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 0.6700 πŸ“Š 🧲
Business, Companies 0.5700 πŸ“Š 🧲
Government 0.5500 πŸ“Š 🧲
Environment, Climate 0.5100 πŸ“Š 🧲
Friends and Family 0.4000 πŸ“Š 🧲
Civil Unrest, Conflict 0.1600 πŸ“Š 🧲
Political Theatre 0.1100 πŸ“Š 🧲
Health 0.0500 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-08-30 16:30:00+00 Politics inquirer.com What voters in the U.S. can learn from Australia’s political system Analyze Jonathan Zimmerman 😐 neutral 0.1063
2026-08-21 05:00:26+00 Health theguardian.com What happens to people’s health when air pollution is reduced? Analyze Gary Fuller 😐 neutral 0.0724
2026-08-18 05:20:52+00 Sports bbc.com Disabilities no barrier to water sports Analyze bbc.com 😐 neutral 0.2235