Text & Content Analysis

Context: entity (elizabeth ginexi)  |  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
elizabeth ginexi
Window
Last 30 days
Articles
2
From
2026-06-04 13:17:52+00
To
2026-06-14 13:40:50+00
Range
2026-05-16 16:36:22.737114+00 β†’ 2026-06-15 16:36:22.737114+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 50.00 πŸ“Š πŸ“° 🧲
mezha.net 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.0900 πŸ“Š 🧲
Technology 0.3500 πŸ“Š 🧲
Environment, Climate 0.3300 πŸ“Š 🧲
Health 0.1000 πŸ“Š 🧲
Business, Companies 0.0700 πŸ“Š 🧲
Friends and Family 0.0300 πŸ“Š 🧲
Political Theatre 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
2026-06-14 13:40:50+00 Science mezha.net Scientists warn US proposal would politicize federal science funding Analyze МСТа 😐 neutral 0.024
2026-06-04 13:17:52+00 Science cnn.com Researchers say this new Trump rule could destroy American science as we know it. They’re fighting back Analyze Ella Nilsen,Andrew Freedman 😐 neutral 0.0051