Text & Content Analysis

Context: entity (michael strain)  |  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
michael strain
Window
Last 30 days
Articles
2
From
2026-05-23 10:45:49+00
To
2026-05-30 13:10:05+00
Range
2026-05-03 03:35:39.042267+00 β†’ 2026-06-02 03:35:39.042267+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
adamtooze.substack.com 1 50.00 πŸ“Š πŸ“° 🧲
theatlantic.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.7700 πŸ“Š 🧲
Business, Companies 0.3800 πŸ“Š 🧲
Technology 0.2500 πŸ“Š 🧲
Health 0.2000 πŸ“Š 🧲
Political Theatre 0.1400 πŸ“Š 🧲
Friends and Family 0.1100 πŸ“Š 🧲
Environment, Climate 0.0800 πŸ“Š 🧲
Civil Unrest, Conflict 0.0500 πŸ“Š 🧲
Other 0.0200 β€”
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
2026-05-30 13:10:05+00 Science theatlantic.com The Social Sciences Are in Trouble Analyze Hana Kiros 😐 neutral 0.031
2026-05-23 10:45:49+00 Politics adamtooze.substack.com Bond breakout? Big effects of bad data. Immigration and thermostatic politics & dad-chat is coming for dad-books. Analyze Adam Tooze 😐 neutral 0.0632