Text & Content Analysis

Context: entity (at least eight)  |  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
at least eight
Window
Last 30 days
Articles
1
From
2026-06-13 04:12:26+00
To
2026-06-13 04:12:26+00
Range
2026-05-25 08:46:09.497342+00 β†’ 2026-06-24 08:46:09.497342+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
at least eight CARDINAL 1 πŸ“Š πŸ” 🧲
et subscribe PERSON 1 πŸ“Š πŸ” 🧲
kara berg PERSON 1 πŸ“Š πŸ” 🧲
michigan GPE 1 πŸ“Š πŸ” 🧲
the detroit news ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.4100 πŸ“Š 🧲
Civil Unrest, Conflict 0.3100 πŸ“Š 🧲
Environment, Climate 0.1700 πŸ“Š 🧲
Entertainment 0.0500 πŸ“Š 🧲
Food and Beverage 0.0300 πŸ“Š 🧲
Government 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
☹️ Negative 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-06-13 04:12:26+00 Science detroitnews.com Arson convictions are getting thrown out. Experts blame 'junk science' Analyze Kara Berg ☹️ negative -0.0367