Text & Content Analysis

Context: entity (email bluesky facebook)  |  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
email bluesky facebook
Window
Last 30 days
Articles
2
From
2026-06-10 12:32:06+00
To
2026-06-29 00:29:52+00
Range
2026-05-31 02:24:17.589053+00 β†’ 2026-06-30 02:24:17.589053+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
theconversation.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.8200 πŸ“Š 🧲
Friends and Family 0.2600 πŸ“Š 🧲
Civil Unrest, Conflict 0.2500 πŸ“Š 🧲
Business, Companies 0.2100 πŸ“Š 🧲
Political Theatre 0.1900 πŸ“Š 🧲
Environment, Climate 0.1300 πŸ“Š 🧲
Technology 0.1300 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
2026-06-29 00:29:52+00 Politics theconversation.com Andy Burnham’s meteoric rise tells us much about how politics and power are changing Analyze Rob Manwaring 😐 neutral 0.0732
2026-06-10 12:32:06+00 Science theconversation.com National Science Foundation cuts mean researchers like me are losing grants – but impacts extend far beyond academia Analyze Remy Dou 😐 neutral 0.0466