Text & Content Analysis

Context: entity (roughly three)  |  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
roughly three
Window
Last 30 days
Articles
1
From
2026-03-08 11:04:00+00
To
2026-03-08 11:04:00+00
Range
2026-02-26 06:23:10.286297+00 β†’ 2026-03-28 06:23:10.286297+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
american NORP 1 πŸ“Š πŸ” 🧲
anita shelgikar PERSON 1 πŸ“Š πŸ” 🧲
audio ORG 1 πŸ“Š πŸ” 🧲
bommersbach PERSON 1 πŸ“Š πŸ” 🧲
daniel teens PERSON 1 πŸ“Š πŸ” 🧲
facebook flipboard email PERSON 1 πŸ“Š πŸ” 🧲
roughly three CARDINAL 1 πŸ“Š πŸ” 🧲
shelgikar PERSON 1 πŸ“Š πŸ” 🧲
shots health news getting ORG 1 πŸ“Š πŸ” 🧲
tanner bommersbach PERSON 1 πŸ“Š πŸ” 🧲
weekend edition WORK_OF_ART 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.6500 πŸ“Š 🧲
Friends and Family 0.3000 πŸ“Š 🧲
Government 0.0400 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
2026-03-08 11:04:00+00 Health npr.org Teens are sleeping less than ever and screens aren't primarily to blame Analyze Ari Daniel 😐 neutral 0.1159