Text & Content Analysis

Context: entity (uber)  |  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
uber
Window
Last 30 days
Articles
2
From
2026-04-02 12:30:00+00
To
2026-04-03 21:04:13+00
Range
2026-03-06 13:52:04.991831+00 β†’ 2026-04-05 13:52:04.991831+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 1.0900 πŸ“Š 🧲
Technology 0.3500 πŸ“Š 🧲
Entertainment 0.1400 πŸ“Š 🧲
Civil Unrest, Conflict 0.1300 πŸ“Š 🧲
Environment, Climate 0.1100 πŸ“Š 🧲
Political Theatre 0.1100 πŸ“Š 🧲
Friends and Family 0.0500 πŸ“Š 🧲
Business, Companies 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
2026-04-03 21:04:13+00 Business wweek.com Blazers, Thorns, Business Chamber and Performance Groups Urge Council to Kill Ride-Hailing Proposal Analyze | 😐 neutral 0.1071
2026-04-02 12:30:00+00 Politics calmatters.org Two Republicans are fighting for California governor. Why a tie is their best strategy Analyze Jeanne Kuang 😐 neutral 0.1233