Text & Content Analysis

Context: entity (mark carney)  |  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
mark carney
Window
Last 7 days
Articles
3
From
2026-08-26 04:33:32+00
To
2026-08-28 18:43:47+00
Range
2026-08-25 10:59:35.906753+00 β†’ 2026-09-01 10:59:35.906753+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.7200 πŸ“Š 🧲
Business, Companies 0.6500 πŸ“Š 🧲
Political Theatre 0.5200 πŸ“Š 🧲
Environment, Climate 0.3700 πŸ“Š 🧲
Technology 0.3500 πŸ“Š 🧲
Civil Unrest, Conflict 0.3100 πŸ“Š 🧲
Entertainment 0.0500 πŸ“Š 🧲
Health 0.0200 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
2026-08-28 18:43:47+00 Politics theweek.com β€˜There are several reasons why we’re in this precarious situation’ Analyze https://theweek.com/author/justin-klawans 😐 neutral 0.1791
2026-08-26 05:00:35+00 Politics theguardian.com Around the world, people are rejecting divisive and dangerous politics. We can – and must Analyze Gordon Brown 😐 neutral 0.0813
2026-08-26 04:33:32+00 Business nbcboston.com How Mass. consumers and businesses stand to be affected by Canada trade war Analyze Oscar Margain 😐 neutral 0.0941