Text & Content Analysis

Context: entity (dems)  |  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
dems
Window
Last 7 days
Articles
2
From
2026-05-08 03:59:04+00
To
2026-05-10 16:24:11+00
Range
2026-05-06 21:59:11.673569+00 β†’ 2026-05-13 21:59:11.673569+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
bbc.com 1 50.00 πŸ“Š πŸ“° 🧲
nypost.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.6100 πŸ“Š 🧲
Technology 0.4700 πŸ“Š 🧲
Civil Unrest, Conflict 0.3800 πŸ“Š 🧲
Business, Companies 0.3300 πŸ“Š 🧲
Environment, Climate 0.0900 πŸ“Š 🧲
Food and Beverage 0.0700 πŸ“Š 🧲
Health 0.0300 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
2026-05-10 16:24:11+00 Health nypost.com The number of steps you need to walk a day to maintain weight loss β€” no, it’s not 10,000 Analyze Rachel Sacks 😐 neutral 0.1298
2026-05-08 03:59:04+00 Politics bbc.com Election results so far at a glance - and what's still to come Analyze bbc.com 😐 neutral 0.182