Text & Content Analysis

Context: entity (media matters)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
media matters
Window
Last 30 days
Articles
3
From
2026-03-02 17:34:59+00
To
2026-03-19 21:55:00+00
Range
2026-02-18 16:06:15.08536+00 β†’ 2026-03-20 16:06:15.08536+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.9700 πŸ“Š 🧲
Government 0.9600 πŸ“Š 🧲
Civil Unrest, Conflict 0.3900 πŸ“Š 🧲
Political Theatre 0.3800 πŸ“Š 🧲
Friends and Family 0.1300 πŸ“Š 🧲
Entertainment 0.0800 πŸ“Š 🧲
Technology 0.0400 πŸ“Š 🧲
Food and Beverage 0.0300 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-19 21:55:00+00 Sports sports.yahoo.com David Lynch heaps praise on β€˜absolutely brilliant’ Liverpool star Analyze Anfield Index 😐 neutral 0.1699
2026-03-14 11:00:35+00 Politics cnn.com Kat Abughazaleh knows how to create viral moments. Can she translate that into votes? Analyze Arit John 😐 neutral 0.1234
2026-03-02 17:34:59+00 Politics theweek.com Media: The campaign to silence Trump critics Analyze @TheWeekUK 😐 neutral 0.1795