Text & Content Analysis

Context: entity (first opinion first opinion)  |  Window: 24h · 7d · 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.

Explore by Category
Politics Sports Business Technology Science Health Entertainment

Corpus KPIs

Entity
first opinion first opinion
Window
Last 24h
Articles
2
From
2026-08-10 08:30:00+00
To
2026-08-10 08:30:00+00
Range
2026-08-09 09:10:47.321739+00 → 2026-08-10 09:10:47.321739+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
first opinion first opinion ORG 2 📊 🔍 🧲
allison espeseth PERSON 1 📊 🔍 🧲
krutika kuppalli PERSON 1 📊 🔍 🧲
laura dague PERSON 1 📊 🔍 🧲
medicaid ORG 1 📊 🔍 🧲
placide mbala PERSON 1 📊 🔍 🧲
rebecca myerson PERSON 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
statnews.com 2 100.00 📊 📰 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.0300 📊 🧲
Health 0.6600 📊 🧲
Political Theatre 0.1200 📊 🧲
Food and Beverage 0.0900 📊 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-08-10 08:30:00+00 Health statnews.com How should states reach out to Medicaid enrollees affected by changes? Our research gives a hint Analyze Rebecca Myerson, Allison Espeseth, Laura Dague 😐 neutral 0.25
2026-08-10 08:30:00+00 Health statnews.com We prepared for Ebola Analyze Krutika Kuppalli, Placide Mbala 😐 neutral 0.25