Text & Content Analysis

Context: entity (jason laughlin)  |  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
jason laughlin
Window
Last 30 days
Articles
1
From
2026-05-27 22:17:35+00
To
2026-05-27 22:17:35+00
Range
2026-04-30 23:48:39.174298+00 β†’ 2026-05-30 23:48:39.174298+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
about 60000 CARDINAL 1 πŸ“Š πŸ” 🧲
about 66 percent PERCENT 1 πŸ“Š πŸ” 🧲
about 70 percent PERCENT 1 πŸ“Š πŸ” 🧲
aca ORG 1 πŸ“Š πŸ” 🧲
audrey morse gasteier PERSON 1 πŸ“Š πŸ” 🧲
biden PERSON 1 πŸ“Š πŸ” 🧲
blue cross blue shield ORG 1 πŸ“Š πŸ” 🧲
boston GPE 1 πŸ“Š πŸ” 🧲
brighton GPE 1 πŸ“Š πŸ” 🧲
capitol hill LOC 1 πŸ“Š πŸ” 🧲
commonwealth ORG 1 πŸ“Š πŸ” 🧲
dc GPE 1 πŸ“Š πŸ” 🧲
department of insurance ORG 1 πŸ“Š πŸ” 🧲
gasteier ORG 1 πŸ“Š πŸ” 🧲
get starting point ORG 1 πŸ“Š πŸ” 🧲
gruber DATE 1 πŸ“Š πŸ” 🧲
harvard ORG 1 πŸ“Š πŸ” 🧲
health connector ORG 1 πŸ“Š πŸ” 🧲
jason laughlin PERSON 1 πŸ“Š πŸ” 🧲
john tlumacki PERSON 1 πŸ“Š πŸ” 🧲
jonathan gruber PERSON 1 πŸ“Š πŸ” 🧲
kaitlyn kenney walsh PERSON 1 πŸ“Š πŸ” 🧲
kassa PERSON 1 πŸ“Š πŸ” 🧲
kelley kassa PERSON 1 πŸ“Š πŸ” 🧲
last year DATE 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.8500 πŸ“Š 🧲
Technology 0.0600 πŸ“Š 🧲
Health 0.0500 πŸ“Š 🧲
Business, Companies 0.0400 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
2026-05-27 22:17:35+00 Health bostonglobe.com Massachusetts ACA enrollment falls as federal subsidies end Analyze Marin Wolf,Jason Laughlin 😐 neutral 0.0856