Text & Content Analysis

Context: pub (newscientist.com)  |  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

Publisher
newscientist.com
Window
Last 7 days
Articles
1
From
2026-04-29 15:25:02+00
To
2026-04-29 15:25:02+00
Range
2026-04-25 03:15:08.735012+00 β†’ 2026-05-02 03:15:08.735012+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
advertisement sign PERSON 1 πŸ“Š πŸ” 🧲
boston GPE 1 πŸ“Š πŸ” 🧲
canada GPE 1 πŸ“Š πŸ” 🧲
eight weeks DATE 1 πŸ“Š πŸ” 🧲
first ORDINAL 1 πŸ“Š πŸ” 🧲
hyunwoo yuk PERSON 1 πŸ“Š πŸ” 🧲
jayachandran kizhakkedathu PERSON 1 πŸ“Š πŸ” 🧲
jianyu li PERSON 1 πŸ“Š πŸ” 🧲
li PERSON 1 πŸ“Š πŸ” 🧲
linkedin reddit email PERSON 1 πŸ“Š πŸ” 🧲
massachusetts GPE 1 πŸ“Š πŸ” 🧲
mcgill university ORG 1 πŸ“Š πŸ” 🧲
montreal GPE 1 πŸ“Š πŸ” 🧲
new scientist ORG 1 πŸ“Š πŸ” 🧲
one CARDINAL 1 πŸ“Š πŸ” 🧲
receive PERSON 1 πŸ“Š πŸ” 🧲
sanaheal ORG 1 πŸ“Š πŸ” 🧲
world ORG 1 πŸ“Š πŸ” 🧲
yujia huang PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.8300 πŸ“Š 🧲
Business, Companies 0.0800 πŸ“Š 🧲
Health 0.0500 πŸ“Š 🧲
Food and Beverage 0.0300 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
2026-04-29 15:25:02+00 Health newscientist.com Simple treatment tweak drastically reduces blood loss from severe cuts Analyze Yujia Huang 😐 neutral 0.0625