Text & Content Analysis

Context: entity (michael arkush)  |  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
michael arkush
Window
Last 30 days
Articles
1
From
Mon, Sep 14 • 4:30 AM EDT
To
Mon, Sep 14 • 4:30 AM EDT
Range
Wed, Aug 26 • 3:26 PM EDT → Fri, Sep 25 • 3:26 PM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
first opinion first opinion ORG 1 📊 🔍 🧲
michael arkush PERSON 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.4100 📊 🧲
Business, Companies 0.3300 📊 🧲
Friends and Family 0.2100 📊 🧲
How it feels

Sentiment

Label Articles Actions
🙂 Positive 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-14 08:30:00+00 Science statnews.com Restoring public trust in science doesn’t have a simple solution. That’s OK Analyze Michelle Groman, Caroline Montojo 🙂 positive 0.3667