Text & Content Analysis

Context: entity (amnesty international)  |  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
amnesty international
Window
Last 30 days
Articles
2
From
2026-05-02 04:00:14+00
To
2026-05-13 16:42:04+00
Range
2026-04-13 19:25:13.228953+00 β†’ 2026-05-13 19:25:13.228953+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
oaklandside.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
Civil Unrest, Conflict 0.5600 πŸ“Š 🧲
Government 0.4200 πŸ“Š 🧲
Technology 0.3100 πŸ“Š 🧲
Political Theatre 0.2700 πŸ“Š 🧲
Business, Companies 0.2300 πŸ“Š 🧲
Environment, Climate 0.1300 πŸ“Š 🧲
Food and Beverage 0.0400 πŸ“Š 🧲
Friends and Family 0.0300 πŸ“Š 🧲
Other 0.0100 β€”
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
2026-05-13 16:42:04+00 Business oaklandside.org Oakland approves police contract with Israeli company that does business with ICE Analyze Eli Wolfe 😐 neutral 0.0055
2026-05-02 04:00:14+00 Politics theguardian.com Hope out of chaos: how the dark era of Trump is creating a new approach to global politics Analyze Patrick Wintour 😐 neutral 0.0708