Text & Content Analysis

Context: entity (deborah sielert)  |  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
deborah sielert
Window
Last 7 days
Articles
1
From
2026-06-08 07:16:01+00
To
2026-06-08 07:16:01+00
Range
2026-06-03 13:38:02.540713+00 β†’ 2026-06-10 13:38:02.540713+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
beitrag auf deutsch lesen PERSON 1 πŸ“Š πŸ” 🧲
bereich publikationsdienste PERSON 1 πŸ“Š πŸ” 🧲
borgnetzwerk ORG 1 πŸ“Š πŸ” 🧲
cc ORG 1 πŸ“Š πŸ” 🧲
cc by ORG 1 πŸ“Š πŸ” 🧲
communities ORG 1 πŸ“Š πŸ” 🧲
dear dr musterfrau WORK_OF_ART 1 πŸ“Š πŸ” 🧲
deborah sielert PERSON 1 πŸ“Š πŸ” 🧲
elliot PERSON 1 πŸ“Š πŸ” 🧲
europΓ€ischen hochschulallianz PERSON 1 πŸ“Š πŸ” 🧲
hamid r jamali PERSON 1 πŸ“Š πŸ” 🧲
jasmina el bouamraoui PERSON 1 πŸ“Š πŸ” 🧲
jonas hauss PERSON 1 πŸ“Š πŸ” 🧲
juni 2026 PERSON 1 πŸ“Š πŸ” 🧲
karabo poppy moletsane PERSON 1 πŸ“Š πŸ” 🧲
mitarbeiterin NORP 1 πŸ“Š πŸ” 🧲
one CARDINAL 1 πŸ“Š πŸ” 🧲
open access ORG 1 πŸ“Š πŸ” 🧲
projekt openaccessnetwork PERSON 1 πŸ“Š πŸ” 🧲
publishing services ORG 1 πŸ“Š πŸ” 🧲
reach target audience ORG 1 πŸ“Š πŸ” 🧲
reddit NORP 1 πŸ“Š πŸ” 🧲
researchgate PRODUCT 1 πŸ“Š πŸ” 🧲
sagan PERSON 1 πŸ“Š πŸ” 🧲
scipod PRODUCT 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
blog.tib.eu 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.3400 πŸ“Š 🧲
Business, Companies 0.2900 πŸ“Š 🧲
Technology 0.2700 πŸ“Š 🧲
Health 0.0500 πŸ“Š 🧲
Friends and Family 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
2026-06-08 07:16:01+00 Science blog.tib.eu Outsourcing science communication: commercial providers, pitfalls and better alternatives - TIB-Blog Analyze Deborah Sielert , Wenxin Shangguan 😐 neutral 0.1282