Text & Content Analysis

Context: entity (worker adjustment)  |  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
worker adjustment
Window
Last 24h
Articles
1
From
Wed, Sep 23 β€’ 3:20 AM EDT
To
Wed, Sep 23 β€’ 3:20 AM EDT
Range
Tue, Sep 22 β€’ 6:44 PM EDT β†’ Wed, Sep 23 β€’ 6:44 PM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
kayla chan PERSON 1 πŸ“Š πŸ” 🧲
kim PERSON 1 πŸ“Š πŸ” 🧲
lisa kim PERSON 1 πŸ“Š πŸ” 🧲
local news ORG 1 πŸ“Š πŸ” 🧲
palo alto online GPE 1 πŸ“Š πŸ” 🧲
stanford health care ORG 1 πŸ“Š πŸ” 🧲
stanford medicines ORG 1 πŸ“Š πŸ” 🧲
the stanford daily ORG 1 πŸ“Š πŸ” 🧲
university ORG 1 πŸ“Š πŸ” 🧲
warn ORG 1 πŸ“Š πŸ” 🧲
worker adjustment ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.4300 πŸ“Š 🧲
Technology 0.3300 πŸ“Š 🧲
Health 0.2100 πŸ“Š 🧲
Entertainment 0.0300 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
2026-09-23 07:20:43+00 Health stanforddaily.com Stanford Health Care to lay off 95 employees Analyze Kayla Chan 😐 neutral 0.0156