Text & Content Analysis

Context: entity (dataminr)  |  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
dataminr
Window
Last 24h
Articles
1
From
2026-04-08 00:12:17+00
To
2026-04-08 00:12:17+00
Range
2026-04-07 05:04:18.516837+00 β†’ 2026-04-08 05:04:18.516837+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
u.s. GPE 2 πŸ“Š πŸ” 🧲
dataminr ORG 1 πŸ“Š πŸ” 🧲
donald trump PERSON 1 πŸ“Š πŸ” 🧲
facebook tweet email link threads link copied WORK_OF_ART 1 πŸ“Š πŸ” 🧲
fbi ORG 1 πŸ“Š πŸ” 🧲
iran GPE 1 πŸ“Š πŸ” 🧲
iranian NORP 1 πŸ“Š πŸ” 🧲
israel GPE 1 πŸ“Š πŸ” 🧲
israeli NORP 1 πŸ“Š πŸ” 🧲
joe slowik PERSON 1 πŸ“Š πŸ” 🧲
kash patel PERSON 1 πŸ“Š πŸ” 🧲
nathan howardreuters digital ORG 1 πŸ“Š πŸ” 🧲
patel ORG 1 πŸ“Š πŸ” 🧲
slowik ORG 1 πŸ“Š πŸ” 🧲
tehran GPE 1 πŸ“Š πŸ” 🧲
the middle east LOC 1 πŸ“Š πŸ” 🧲
washington dc GPE 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
Political Theatre 0.2500 πŸ“Š 🧲
Technology 0.2100 πŸ“Š 🧲
Civil Unrest, Conflict 0.1900 πŸ“Š 🧲
Government 0.1400 πŸ“Š 🧲
Health 0.1000 πŸ“Š 🧲
Environment, Climate 0.0900 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
2026-04-08 00:12:17+00 Politics cnn.com Iran-linked hackers have disrupted multiple US industrial sites Analyze Sean Lyngaas 😐 neutral 0.0529