Text & Content Analysis

Context: entity (tom glasser)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 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
tom glasser
Window
Last 30 days
Articles
1
From
2026-02-20 05:00:23+00
To
2026-02-20 05:00:23+00
Range
2026-02-08 05:04:09.840951+00 β†’ 2026-03-10 05:04:09.840951+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
theguardian.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Political Theatre 0.2900 πŸ“Š 🧲
Business, Companies 0.2700 πŸ“Š 🧲
Entertainment 0.2500 πŸ“Š 🧲
Civil Unrest, Conflict 0.1200 πŸ“Š 🧲
Government 0.0700 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-02-20 05:00:23+00 Politics theguardian.com Jesse Jackson’s political legacy in the Trump era Analyze Jenna Amatulli,George Chidi,Tom Glasser,Danielle Stephens 😐 neutral 0.1222