Text & Content Analysis

Context: entity (kansas)  |  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
kansas
Window
Last 7 days
Articles
2
From
2026-06-04 20:36:34+00
To
2026-06-07 10:00:31+00
Range
2026-06-03 16:20:21.073257+00 β†’ 2026-06-10 16:20:21.073257+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
npr.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
Government 0.5400 πŸ“Š 🧲
Civil Unrest, Conflict 0.4200 πŸ“Š 🧲
Technology 0.3200 πŸ“Š 🧲
Business, Companies 0.3200 πŸ“Š 🧲
Health 0.3200 πŸ“Š 🧲
Environment, Climate 0.0600 πŸ“Š 🧲
Entertainment 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
2026-06-07 10:00:31+00 Politics theguardian.com β€˜A driver of political violence’: how the breakneck AI boom is fueling anti-tech extremism Analyze Nick Robins-Early 😐 neutral -0.0137
2026-06-04 20:36:34+00 Health npr.org Weakened public health powers raise outbreak risks Analyze Rob Stein 😐 neutral 0.0628