Text & Content Analysis

Context: entity (pew research center)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 5 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
pew research center
Window
Last 30 days
Articles
5
From
2026-05-28 10:03:13+00
To
2026-06-13 17:22:39+00
Range
2026-05-23 19:31:34.336831+00 β†’ 2026-06-22 19:31:34.336831+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.2800 πŸ“Š 🧲
Business, Companies 1.1500 πŸ“Š 🧲
Technology 1.0200 πŸ“Š 🧲
Friends and Family 0.9300 πŸ“Š 🧲
Civil Unrest, Conflict 0.2500 πŸ“Š 🧲
Health 0.1700 πŸ“Š 🧲
Political Theatre 0.1400 πŸ“Š 🧲
Environment, Climate 0.0100 πŸ“Š 🧲
Other 0.0100 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 5 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-06-13 17:22:39+00 Health forbes.com Peptide Fad Gripping America Reflects Outsize Role Of Influencers In Healthcare Analyze Joshua P. Cohen 😐 neutral 0.1231
2026-06-13 16:43:52+00 Politics fox5atlanta.com Americans split into 9 political groups in new research: Where do you fit in? Analyze Heather Miller 😐 neutral 0.1488
2026-06-07 14:12:00+00 Politics spectrumlocalnews.com Faith leaders navigate politics in the pews Analyze spectrumlocalnews.com 😐 neutral 0.1576
2026-05-29 01:33:10+00 Sports adn.com Gamification and memes lure young people to sports wagering apps, prediction markets Analyze Kaitlyn Huamani, Associated Press 😐 neutral 0.1107
2026-05-28 10:03:13+00 Sports wral.com Gamification and memes lure young people to sports wagering apps, prediction markets Analyze KAITLYN HUAMANI β€” AP Technology Writer 😐 neutral 0.1173