Text & Content Analysis

Context: entity (jacob brown ryan enos enrico cantoni)  |  Window: 24h · 7d · 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.

Explore by Category
Politics Sports Business Technology Science Health Entertainment

Corpus KPIs

Entity
jacob brown ryan enos enrico cantoni
Window
Last 7 days
Articles
1
From
2026-03-09 00:00:00+00
To
2026-03-09 00:00:00+00
Range
2026-03-03 10:55:09.406584+00 → 2026-03-10 10:55:09.406584+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
democrats NORP 2 📊 🔍 🧲
jacob brown ryan enos enrico cantoni PERSON 1 📊 🔍 🧲
linkedin bluesky PERSON 1 📊 🔍 🧲
republicans NORP 1 📊 🔍 🧲
u.s. GPE 1 📊 🔍 🧲
voxeu column political economy politics ORG 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cepr.org 1 100.00 📊 📰 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.5600 📊 🧲
Friends and Family 0.2100 📊 🧲
Business, Companies 0.1800 📊 🧲
Entertainment 0.0400 📊 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-09 00:00:00+00 Politics cepr.org How generational turnover and party switching reshape the US political map Analyze CEPR 😐 neutral 0.0795