Text & Content Analysis

Context: entity (pro tem)  |  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
pro tem
Window
Last 30 days
Articles
2
From
2026-05-15 00:44:32+00
To
2026-06-12 11:26:00+00
Range
2026-05-14 18:51:16.265951+00 β†’ 2026-06-13 18:51:16.265951+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
calmatters.org 1 50.00 πŸ“Š πŸ“° 🧲
sdpb.org 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.4400 πŸ“Š 🧲
Business, Companies 0.2300 πŸ“Š 🧲
Environment, Climate 0.2000 πŸ“Š 🧲
Political Theatre 0.0900 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
2026-06-12 11:26:00+00 Business sdpb.org Pro-economic growth policy back in business following primaries, some say Analyze Jackson Dircks 😐 neutral 0.1395
2026-05-15 00:44:32+00 Politics calmatters.org California legislators kill new spending programs and blame Trump for funding cuts Analyze Maya C. Miller, Nadia Lathan 😐 neutral 0.1234