Text & Content Analysis

Context: entity (emma mcintyre)  |  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
emma mcintyre
Window
Last 30 days
Articles
3
From
2026-03-05 14:34:44+00
To
2026-03-27 15:30:00+00
Range
2026-02-26 00:02:45.429024+00 β†’ 2026-03-28 00:02:45.429024+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.5100 πŸ“Š 🧲
Government 0.4700 πŸ“Š 🧲
Environment, Climate 0.4500 πŸ“Š 🧲
Entertainment 0.2000 πŸ“Š 🧲
Civil Unrest, Conflict 0.1300 πŸ“Š 🧲
Political Theatre 0.1100 πŸ“Š 🧲
Technology 0.0700 πŸ“Š 🧲
Health 0.0300 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
2026-03-27 15:30:00+00 Politics hollywoodreporter.com To Comment or Not to Comment: Stars Wrestle With Politics on Red Carpet Analyze Carly Thomas 😐 neutral 0.0741
2026-03-16 04:56:10+00 Politics theguardian.com Key takeaways from Oscars 2026: horror wins, tech loses and politics is hard to ignore Analyze Adrian Horton,Benjamin Lee,Owen Myers 😐 neutral 0.196
2026-03-05 14:34:44+00 Science blog.ucs.org Governor Newsom, Be the Man Science Needs Analyze Daniel Barad 😐 neutral 0.1097