Text & Content Analysis

Context: entity (ossoff)  |  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
ossoff
Window
Last 7 days
Articles
2
From
2026-06-16 08:00:08+00
To
2026-06-17 02:32:32+00
Range
2026-06-10 08:13:28.234543+00 β†’ 2026-06-17 08:13:28.234543+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.3200 πŸ“Š 🧲
Political Theatre 0.3900 πŸ“Š 🧲
Business, Companies 0.1000 πŸ“Š 🧲
Entertainment 0.0900 πŸ“Š 🧲
Friends and Family 0.0500 πŸ“Š 🧲
Civil Unrest, Conflict 0.0400 πŸ“Š 🧲
Environment, Climate 0.0100 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
2026-06-17 02:32:32+00 Politics cnn.com Trump beats a longtime adversary with a late Georgia endorsement, and other election takeaways Analyze Eric Bradner,Aaron Blake 😐 neutral 0.1827
2026-06-16 08:00:08+00 Politics cnn.com What to watch in Tuesday’s primaries in Georgia, Alabama, Oklahoma and Washington, DC Analyze Eric Bradner 😐 neutral 0.1895