Text & Content Analysis

Context: entity (michael selig)  |  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
michael selig
Window
Last 30 days
Articles
3
From
2026-04-14 12:30:21+00
To
2026-04-23 13:20:00+00
Range
2026-03-31 04:37:07.71445+00 β†’ 2026-04-30 04:37:07.71445+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.8600 πŸ“Š 🧲
Business, Companies 0.3100 πŸ“Š 🧲
Political Theatre 0.2900 πŸ“Š 🧲
Civil Unrest, Conflict 0.1900 πŸ“Š 🧲
Environment, Climate 0.1500 πŸ“Š 🧲
Technology 0.0800 πŸ“Š 🧲
Friends and Family 0.0800 πŸ“Š 🧲
Entertainment 0.0100 πŸ“Š 🧲
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
2026-04-23 13:20:00+00 Politics spectrumlocalnews.com Kalshi fines 3 congressional candidates for wagering on their own elections Analyze spectrumlocalnews.com 😐 neutral 0.2185
2026-04-22 18:32:12+00 Politics cnn.com Kalshi prediction site suspends three political candidates for betting on their own races Analyze Marshall Cohen 😐 neutral 0.0506
2026-04-14 12:30:21+00 Business reviewjournal.com Inside Gaming: Strip room rates gradually increasing, analyst says Analyze Richard N. Velotta,Todd Dewey 😐 neutral 0.0963