Trends

Context: entity (a busy day)  |  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
a busy day
Window
Last 24h
Articles
1
From
Thu, Oct 15 β€’ 11:29 PM EDT
To
Thu, Oct 15 β€’ 11:29 PM EDT
Range
Thu, Oct 15 β€’ 12:53 PM EDT β†’ Fri, Oct 16 β€’ 12:53 PM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
a busy day DATE 1 πŸ“Š πŸ” 🧲
affrunti PERSON 1 πŸ“Š πŸ” 🧲
amazon ORG 1 πŸ“Š πŸ” 🧲
amazon web services ORG 1 πŸ“Š πŸ” 🧲
aws ORG 1 πŸ“Š πŸ” 🧲
barry blankenship PERSON 1 πŸ“Š πŸ” 🧲
butler county GPE 1 πŸ“Š πŸ” 🧲
deaton PERSON 1 πŸ“Š πŸ” 🧲
duke energy ORG 1 πŸ“Š πŸ” 🧲
earlier this week DATE 1 πŸ“Š πŸ” 🧲
edgewood high school ORG 1 πŸ“Š πŸ” 🧲
isabel nissley wvxu ORG 1 πŸ“Š πŸ” 🧲
joe deaton PERSON 1 πŸ“Š πŸ” 🧲
john glenn PERSON 1 πŸ“Š πŸ” 🧲
linkedin email PERSON 1 πŸ“Š πŸ” 🧲
madison GPE 1 πŸ“Š πŸ” 🧲
marcos nichols PERSON 1 πŸ“Š πŸ” 🧲
ohio GPE 1 πŸ“Š πŸ” 🧲
one CARDINAL 1 πŸ“Š πŸ” 🧲
perry PERSON 1 πŸ“Š πŸ” 🧲
rebecca payne PERSON 1 πŸ“Š πŸ” 🧲
ryan perry PERSON 1 πŸ“Š πŸ” 🧲
sarah affrunti PERSON 1 πŸ“Š πŸ” 🧲
st clair township GPE 1 πŸ“Š πŸ” 🧲
st clair townships FAC 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.5100 πŸ“Š 🧲
Environment, Climate 0.3200 πŸ“Š 🧲
Friends and Family 0.0800 πŸ“Š 🧲
Technology 0.0700 πŸ“Š 🧲
Entertainment 0.0200 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
2026-10-16 03:29:57+00 Science wvxu.org An Amazon 'science fair' and quashed legislation: A busy day for debate on Trenton data centers Analyze Isabel Nissley, WVXU 😐 neutral 0.1522