Text & Content Analysis

Context: entity (iop)  |  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
iop
Window
Last 30 days
Articles
2
From
2026-05-28 09:44:01+00
To
2026-06-14 10:30:09+00
Range
2026-05-17 10:05:44.527979+00 β†’ 2026-06-16 10:05:44.527979+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 1.1800 πŸ“Š 🧲
Political Theatre 0.3300 πŸ“Š 🧲
Business, Companies 0.2200 πŸ“Š 🧲
Friends and Family 0.2100 πŸ“Š 🧲
Civil Unrest, Conflict 0.0400 πŸ“Š 🧲
Technology 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 10:30:09+00 Politics cnn.com Who stays home may threaten Republicans this year as much as who votes Analyze Ronald Brownstein 😐 neutral 0.0938
2026-05-28 09:44:01+00 Politics thecrimson.com Harvard’s Institute of Politics Searches for a New Director β€” and a Way Back | News Analyze thecrimson 😐 neutral 0.1187