Text & Content Analysis

Context: entity (chan)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
chan
Window
Last 30 days
Articles
3
From
2026-05-16 18:14:25+00
To
2026-06-04 23:45:00+00
Range
2026-05-11 01:08:12.354815+00 β†’ 2026-06-10 01:08:12.354815+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.0900 πŸ“Š 🧲
Government 0.8700 πŸ“Š 🧲
Technology 0.3500 πŸ“Š 🧲
Friends and Family 0.1600 πŸ“Š 🧲
Political Theatre 0.1500 πŸ“Š 🧲
Health 0.1200 πŸ“Š 🧲
Environment, Climate 0.1100 πŸ“Š 🧲
Entertainment 0.0800 πŸ“Š 🧲
Other 0.0500 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-06-04 23:45:00+00 Politics sfexaminer.com Word on the Street: Election-night parties prove politics cures the loneliness epidemic Analyze Ali Wunderman | Special to The Examiner 😐 neutral 0.1518
2026-05-28 00:30:30+00 Science missionlocal.org California advances $12 billion bond for science research in rebuke to Trump cuts Analyze Sarah Hopkins 😐 neutral 0.0175
2026-05-16 18:14:25+00 Sports sports.yahoo.com King scores twice in Warrington's win at Toulouse Analyze Phil Cartwright - BBC Sport journalist 😐 neutral 0.0967