Text & Content Analysis

Context: entity (social)  |  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
social
Window
Last 24h
Articles
1
From
2026-04-11 13:30:55+00
To
2026-04-11 13:30:55+00
Range
2026-04-10 21:43:18.137739+00 β†’ 2026-04-11 21:43:18.137739+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
alexander the great FAC 1 πŸ“Š πŸ” 🧲
burnight PERSON 1 πŸ“Š πŸ” 🧲
chapel hill FAC 1 πŸ“Š πŸ” 🧲
cnn ORG 1 πŸ“Š πŸ” 🧲
cnn original series LAW 1 πŸ“Š πŸ” 🧲
eating PERSON 1 πŸ“Š πŸ” 🧲
et PERSON 1 πŸ“Š πŸ” 🧲
facebook tweet email link threads link copied WORK_OF_ART 1 πŸ“Š πŸ” 🧲
greek NORP 1 πŸ“Š πŸ” 🧲
john batsis PERSON 1 πŸ“Š πŸ” 🧲
kara swisher PERSON 1 πŸ“Š πŸ” 🧲
kara swisher wants to PERSON 1 πŸ“Š πŸ” 🧲
kara swishers PERSON 1 πŸ“Š πŸ” 🧲
mesopotamian NORP 1 πŸ“Š πŸ” 🧲
nguyen PERSON 1 πŸ“Š πŸ” 🧲
one CARDINAL 1 πŸ“Š πŸ” 🧲
social ORG 1 πŸ“Š πŸ” 🧲
spanish NORP 1 πŸ“Š πŸ” 🧲
swisher PERSON 1 πŸ“Š πŸ” 🧲
troy GPE 1 πŸ“Š πŸ” 🧲
xuanmai nguyen PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.4300 πŸ“Š 🧲
Technology 0.4000 πŸ“Š 🧲
Friends and Family 0.0600 πŸ“Š 🧲
Health 0.0600 πŸ“Š 🧲
Entertainment 0.0200 πŸ“Š 🧲
Government 0.0100 πŸ“Š 🧲
Political Theatre 0.0100 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
2026-04-11 13:30:55+00 Health cnn.com What the tech bros are getting wrong about longevity that you can get right Analyze Madeline Holcombe 😐 neutral 0.1764