Text & Content Analysis

Context: entity (linda griffith)  |  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
linda griffith
Window
Last 7 days
Articles
1
From
2026-09-04 04:00:00+00
To
2026-09-04 04:00:00+00
Range
2026-09-02 01:46:11.948042+00 β†’ 2026-09-09 01:46:11.948042+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
abby abazorius email PERSON 1 πŸ“Š πŸ” 🧲
agnieszka grosso PERSON 1 πŸ“Š πŸ” 🧲
anna le PERSON 1 πŸ“Š πŸ” 🧲
blainey ORG 1 πŸ“Š πŸ” 🧲
borrajo PERSON 1 πŸ“Š πŸ” 🧲
boston childrens hospital ORG 1 πŸ“Š πŸ” 🧲
broad ORG 1 πŸ“Š πŸ” 🧲
broad communications ORG 1 πŸ“Š πŸ” 🧲
broad communications previous ORG 1 πŸ“Š πŸ” 🧲
broad institute publication date ORG 1 πŸ“Š πŸ” 🧲
crispr GPE 1 πŸ“Š πŸ” 🧲
department of biological engineering department of mechanical engineering school of engineering broad institute of mit ORG 1 πŸ“Š πŸ” 🧲
george daley PERSON 1 πŸ“Š πŸ” 🧲
harvard ORG 1 πŸ“Š πŸ” 🧲
harvard related topics research ORG 1 πŸ“Š πŸ” 🧲
jacob borrajo PERSON 1 πŸ“Š πŸ” 🧲
leah eisenstadt ORG 1 πŸ“Š πŸ” 🧲
linda griffith PERSON 1 πŸ“Š πŸ” 🧲
mechanical ORG 1 πŸ“Š πŸ” 🧲
media download ORG 1 πŸ“Š πŸ” 🧲
mit ORG 1 πŸ“Š πŸ” 🧲
mit news ORG 1 πŸ“Š πŸ” 🧲
mit news office ORG 1 πŸ“Š πŸ” 🧲
mohamad najia PERSON 1 πŸ“Š πŸ” 🧲
najia PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
news.mit.edu 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 0.8500 πŸ“Š 🧲
Business, Companies 0.1500 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
2026-09-04 04:00:00+00 Science news.mit.edu New method allows scientists to follow gene activity over time in the same cells Analyze Leah Eisenstadt | Broad Institute 😐 neutral 0.1011