Text & Content Analysis

Context: entity (fu ting)  |  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
fu ting
Window
Last 30 days
Articles
1
From
2026-04-10 01:07:49+00
To
2026-04-10 01:07:49+00
Range
2026-03-31 13:47:55.835842+00 β†’ 2026-04-30 13:47:55.835842+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Political Theatre 0.2500 πŸ“Š 🧲
Environment, Climate 0.2000 πŸ“Š 🧲
Business, Companies 0.1600 πŸ“Š 🧲
Entertainment 0.1200 πŸ“Š 🧲
Government 0.1100 πŸ“Š 🧲
Technology 0.0800 πŸ“Š 🧲
Food and Beverage 0.0400 πŸ“Š 🧲
Civil Unrest, Conflict 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
2026-04-10 01:07:49+00 Entertainment lmtonline.com China's K-pop worries: The reasons why a ban on Korean entertainment has lasted a decade Analyze KEN MORITSUGU and JUWON PARK 😐 neutral 0.1061