Text & Content Analysis

Context: entity (ransomware)  |  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
ransomware
Window
Last 24h
Articles
1
From
2026-04-22 09:00:55+00
To
2026-04-22 09:00:55+00
Range
2026-04-22 06:52:51.568366+00 β†’ 2026-04-23 06:52:51.568366+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
12 million MONEY 1 πŸ“Š πŸ” 🧲
25 million MONEY 1 πŸ“Š πŸ” 🧲
angelo martino PERSON 1 πŸ“Š πŸ” 🧲
bitcoin PERSON 1 πŸ“Š πŸ” 🧲
cnn ORG 1 πŸ“Š πŸ” 🧲
connecticut GPE 1 πŸ“Š πŸ” 🧲
coveware ORG 1 πŸ“Š πŸ” 🧲
digital security federal agencies see ORG 1 πŸ“Š πŸ” 🧲
digitalmint PRODUCT 1 πŸ“Š πŸ” 🧲
facebook tweet email link threads link copied WORK_OF_ART 1 πŸ“Š πŸ” 🧲
fbi ORG 1 πŸ“Š πŸ” 🧲
goldberg PERSON 1 πŸ“Š πŸ” 🧲
illinois GPE 1 πŸ“Š πŸ” 🧲
jelen PERSON 1 πŸ“Š πŸ” 🧲
justice department ORG 1 πŸ“Š πŸ” 🧲
kevin tyler martin PERSON 1 πŸ“Š πŸ” 🧲
magnus jelen PERSON 1 πŸ“Š πŸ” 🧲
martin PERSON 1 πŸ“Š πŸ” 🧲
martino GPE 1 πŸ“Š πŸ” 🧲
ransomware ORG 1 πŸ“Š πŸ” 🧲
ryan clifford goldberg PERSON 1 πŸ“Š πŸ” 🧲
seven years later DATE 1 πŸ“Š πŸ” 🧲
the justice department ORG 1 πŸ“Š πŸ” 🧲
u.s. GPE 1 πŸ“Š πŸ” 🧲
veeam software ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.4800 πŸ“Š 🧲
Civil Unrest, Conflict 0.3300 πŸ“Š 🧲
Technology 0.1100 πŸ“Š 🧲
Business, Companies 0.0800 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
2026-04-22 09:00:55+00 Politics cnn.com The β€˜groundbreaking’ case of the cyber experts who allegedly broke bad and worked with criminals Analyze Sean Lyngaas 😐 neutral 0.0181