Text & Content Analysis

Context: pub (linkedin.com)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 4 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

Publisher
linkedin.com
Window
Last 30 days
Articles
4
From
2026-03-03 23:30:14+00
To
2026-03-27 14:30:12+00
Range
2026-02-26 02:55:04.098454+00 β†’ 2026-03-28 02:55:04.098454+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
linkedin.com 4 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 2.1200 πŸ“Š 🧲
Government 0.6000 πŸ“Š 🧲
Environment, Climate 0.3600 πŸ“Š 🧲
Civil Unrest, Conflict 0.2800 πŸ“Š 🧲
Friends and Family 0.2300 πŸ“Š 🧲
Technology 0.2200 πŸ“Š 🧲
Food and Beverage 0.1500 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲
☹️ Negative 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-27 14:30:12+00 Business linkedin.com Your stereotypes about Gen Z aren’t just inaccurate. They’re hurting your business Analyze LinkedInEditors 😐 neutral 0.1522
2026-03-22 12:00:03+00 Business linkedin.com Gen Z really, really loves China's trains Analyze LinkedInEditors 😐 neutral 0.2054
2026-03-10 18:51:58+00 Business linkedin.com Live Q&A: Where Do Oil Prices Go Now? Analyze LinkedIn ☹️ negative -0.1879
2026-03-03 23:30:14+00 Business linkedin.com #dubai #expatexperience #dubailife #expat #expatcommunity Analyze linkedin 😐 neutral 0.2779