Text & Content Analysis

Context: entity (marc succi)  |  Window: 24h Β· 7d Β· 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.

Corpus KPIs

Entity
marc succi
Window
Last 30 days
Articles
1
From
2026-06-11 15:18:58+00
To
2026-06-11 15:18:58+00
Range
2026-05-14 06:46:21.481223+00 β†’ 2026-06-13 06:46:21.481223+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
aarp ORG 1 πŸ“Š πŸ” 🧲
ai ORG 1 πŸ“Š πŸ” 🧲
claude PERSON 1 πŸ“Š πŸ” 🧲
gemini GPE 1 πŸ“Š πŸ” 🧲
google ORG 1 πŸ“Š πŸ” 🧲
jeffrey kaye PERSON 1 πŸ“Š πŸ” 🧲
kff ORG 1 πŸ“Š πŸ” 🧲
las vegas GPE 1 πŸ“Š πŸ” 🧲
linkedin PERSON 1 πŸ“Š πŸ” 🧲
marc succi PERSON 1 πŸ“Š πŸ” 🧲
mass general brigham ORG 1 πŸ“Š πŸ” 🧲
massachusetts general hospital ORG 1 πŸ“Š πŸ” 🧲
more than 40 million CARDINAL 1 πŸ“Š πŸ” 🧲
openai GPE 1 πŸ“Š πŸ” 🧲
oregon health science university ORG 1 πŸ“Š πŸ” 🧲
roughly 2 CARDINAL 1 πŸ“Š πŸ” 🧲
ruth furman PERSON 1 πŸ“Š πŸ” 🧲
succi PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
aarp.org 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.3200 πŸ“Š 🧲
Technology 0.2900 πŸ“Š 🧲
Health 0.2700 πŸ“Š 🧲
Government 0.1200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-06-11 15:18:58+00 Health aarp.org More Americans Are Using AI for Health Questions Analyze Published June 11, 2026 😐 neutral 0.1448