Text & Content Analysis

Context: entity (tyre)  |  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
tyre
Window
Last 30 days
Articles
3
From
2026-05-23 03:57:27+00
To
2026-06-04 04:00:50+00
Range
2026-05-16 13:23:32.762823+00 β†’ 2026-06-15 13:23:32.762823+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 2 66.67 πŸ“Š πŸ“° 🧲
theguardian.com 1 33.33 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 1.4700 πŸ“Š 🧲
Political Theatre 0.5000 πŸ“Š 🧲
Food and Beverage 0.2300 πŸ“Š 🧲
Government 0.1900 πŸ“Š 🧲
Environment, Climate 0.1700 πŸ“Š 🧲
Health 0.1500 πŸ“Š 🧲
Technology 0.1500 πŸ“Š 🧲
Business, Companies 0.1300 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
2026-06-04 04:00:50+00 Politics cnn.com A question looms over Iran diplomacy: Is Trump being straight with the American people? Analyze Stephen Collinson 😐 neutral 0.0023
2026-06-02 04:01:11+00 Politics cnn.com Why Lebanon’s unhealed wounds pose a mortal threat to Trump’s Iran dealmaking Analyze Stephen Collinson 😐 neutral -0.0019
2026-05-23 03:57:27+00 Health theguardian.com Israeli strikes in Lebanon killed 10, including six paramedics, health ministry says Analyze Guardian staff reporter 😐 neutral -0.0073