Text & Content Analysis

Context: entity (kennedy)  |  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
kennedy
Window
Last 7 days
Articles
2
From
2026-05-04 08:45:00+00
To
2026-05-09 05:00:49+00
Range
2026-05-03 11:35:20.809678+00 β†’ 2026-05-10 11:35:20.809678+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
grist.org 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
Business, Companies 0.6200 πŸ“Š 🧲
Technology 0.5900 πŸ“Š 🧲
Environment, Climate 0.3600 πŸ“Š 🧲
Friends and Family 0.1200 πŸ“Š 🧲
Government 0.1200 πŸ“Š 🧲
Political Theatre 0.1000 πŸ“Š 🧲
Civil Unrest, Conflict 0.0500 πŸ“Š 🧲
Health 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
2026-05-09 05:00:49+00 Science theguardian.com β€˜The odds are not in our favour’: who sets the Doomsday Clock – and what can they tell us about the future of humanity? Analyze Sophie McBain 😐 neutral 0.0677
2026-05-04 08:45:00+00 Health grist.org Hurricane Helene shattered lives β€” and the systems that keep people sober Analyze Katie Myers 😐 neutral 0.0686