Text & Content Analysis

Context: entity (facebook x linkedin)  |  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
facebook x linkedin
Window
Last 7 days
Articles
1
From
2026-06-24 14:37:59+00
To
2026-06-24 14:37:59+00
Range
2026-06-23 13:59:42.412705+00 β†’ 2026-06-30 13:59:42.412705+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
amazon ORG 1 πŸ“Š πŸ” 🧲
cnbc ORG 1 πŸ“Š πŸ” 🧲
ev ORG 1 πŸ“Š πŸ” 🧲
facebook x linkedin PERSON 1 πŸ“Š πŸ” 🧲
peter faricy PERSON 1 πŸ“Š πŸ” 🧲
sheridan white PERSON 1 πŸ“Š πŸ” 🧲
slate auto ORG 1 πŸ“Š πŸ” 🧲
staff june 24 2026 DATE 1 πŸ“Š πŸ” 🧲
u.s. GPE 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.4100 πŸ“Š 🧲
Technology 0.3600 πŸ“Š 🧲
Environment, Climate 0.1100 πŸ“Š 🧲
Business, Companies 0.1100 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
2026-06-24 14:37:59+00 Business businessreport.com Startup’s strategy challenges EV industry assumptions Analyze Daily Report Staff 😐 neutral 0.0561