Text & Content Analysis

Context: entity (abramson)  |  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
abramson
Window
Last 30 days
Articles
1
From
Tue, Sep 29 • 7:30 PM EDT
To
Tue, Sep 29 • 7:30 PM EDT
Range
Sun, Sep 6 • 3:18 PM EDT → Tue, Oct 6 • 3:18 PM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
abramson PERSON 1 📊 🔍 🧲
capitol FAC 1 📊 🔍 🧲
citizens research council ORG 1 📊 🔍 🧲
citizens united ORG 1 📊 🔍 🧲
emma winowiecki PERSON 1 📊 🔍 🧲
karley abramson PERSON 1 📊 🔍 🧲
lansing GPE 1 📊 🔍 🧲
linkedin email PERSON 1 📊 🔍 🧲
michigan GPE 1 📊 🔍 🧲
one CARDINAL 1 📊 🔍 🧲
politics government michigan ORG 1 📊 🔍 🧲
proposal 2 LAW 1 📊 🔍 🧲
russ mcnamara PERSON 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.9000 📊 🧲
Political Theatre 0.0500 📊 🧲
Business, Companies 0.0300 📊 🧲
Environment, Climate 0.0200 📊 🧲
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
2026-09-29 23:30:43+00 Politics michiganpublic.org Michigan research council predicts legal challenges if money-out-of-politics campaign succeeds Analyze Russ McNamara 😐 neutral 0.1318