Text & Content Analysis

Context: entity (austin city hall)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 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
austin city hall
Window
Last 30 days
Articles
1
From
2026-02-27 18:27:42+00
To
2026-02-27 18:27:42+00
Range
2026-02-08 20:33:34.146619+00 β†’ 2026-03-10 20:33:34.146619+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Political Theatre 0.3600 πŸ“Š 🧲
Government 0.3000 πŸ“Š 🧲
Civil Unrest, Conflict 0.2200 πŸ“Š 🧲
Business, Companies 0.1200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-02-27 18:27:42+00 Politics cnn.com Trump says he’s β€˜not happy’ with state of Iran-US talks Analyze Arlette Saenz,Avery Schmitz,Annette Choi,Billy Stockwell,Alejandra Jaramillo 😐 neutral 0.1143