Text & Content Analysis

Context: entity (twitter)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 2 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
twitter
Window
Last 24h
Articles
2
From
2026-03-26 22:14:05+00
To
2026-03-27 03:19:43+00
Range
2026-03-26 10:54:14.461303+00 β†’ 2026-03-27 10:54:14.461303+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
sports.yahoo.com 1 50.00 πŸ“Š πŸ“° 🧲
universe.byu.edu 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.7900 πŸ“Š 🧲
Friends and Family 0.4800 πŸ“Š 🧲
Government 0.4000 πŸ“Š 🧲
Civil Unrest, Conflict 0.1400 πŸ“Š 🧲
Environment, Climate 0.1300 πŸ“Š 🧲
Technology 0.0500 πŸ“Š 🧲
Entertainment 0.0100 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-27 03:19:43+00 Sports sports.yahoo.com Penguins win shootout, back in second place Analyze Dan Kingerski 😐 neutral 0.2911
2026-03-26 22:14:05+00 Sports universe.byu.edu Pay to win? The uneven playing field of NIL in college sports Analyze https://universe.byu.edu/onege-asameyong 😐 neutral 0.1249