Text & Content Analysis

Context: entity (jenkins)  |  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
jenkins
Window
Last 30 days
Articles
2
From
2026-09-04 22:37:02+00
To
2026-09-18 02:10:11+00
Range
2026-08-19 12:44:12.699737+00 β†’ 2026-09-18 12:44:12.699737+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.6300 πŸ“Š 🧲
Business, Companies 0.6100 πŸ“Š 🧲
Civil Unrest, Conflict 0.2900 πŸ“Š 🧲
Technology 0.2300 πŸ“Š 🧲
Friends and Family 0.0900 πŸ“Š 🧲
Environment, Climate 0.0600 πŸ“Š 🧲
Political Theatre 0.0500 πŸ“Š 🧲
Entertainment 0.0300 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
2026-09-18 02:10:11+00 Business kold.com Tucson business accused of taking payments, not delivering work Analyze Rebecca Taylor 😐 neutral 0.1128
2026-09-04 22:37:02+00 Politics oaklandside.org AI-generated ads have come to Oakland politics. Accessible solution Analyze Natalie Orenstein 😐 neutral 0.0831