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Understand How News Outlets Frame Headlines

Dual AI classification plus multi-outlet summaries that reveal how the same story is framed across sources

No credit card required • Free forever

How It Works

Three simple steps to understand the emotional tone of news headlines

1

We Collect

Headlines from trusted sources like BBC, CNN, Fox News, and more

2

AI Analyzes Twice

Each headline gets two classifications: standard (any emotion) and restricted (predefined set)

3

You Explore

Compare similar headlines, explore outlet framing, and generate multi-outlet summaries

Key Features

Powerful analytics to help you understand media sentiment

Sentiment Timeline

Track how news sentiment changes over time across all outlets

Joy
65%
Fear
45%
Anger
35%
Trust
55%

Dual Emotion Classification

Two AI passes per headline: standard (any emotion) and restricted (predefined emotion set)

CNN
90%
BBC
80%
PBS
70%

Compare Similar Headlines

Find parallel coverage and see how outlets frame the same story

Summary synthesis

Multi-Outlet Summaries

Generate AI summaries that reveal framing differences across outlets

Interactive Demo

Try It Yourself

Click any headline below to see how our AI analyzes sentiment and emotions with dual classification. Each headline is analyzed twice: standard (any emotion) and restricted (predefined set). Demo data - no login required.

CNN logo

Major Climate Agreement Reached at International Summit

trust
CNNabout 1 year ago
Sentiment:😊 +0.65
trust: 60%
hope: 50%
joy: 40%

Positive sentiment reflecting diplomatic achievement

Fox News logo

Stock Market Tumbles Amid Economic Uncertainty

fear
Fox Newsabout 1 year ago
Sentiment:😟 -0.55
fear: 60%
anxiety: 50%
uncertainty: 40%

Negative sentiment around financial instability

BBC logo

New Technology Breakthrough Could Transform Medicine

hope
BBCabout 1 year ago
Sentiment:😊 +0.75
hope: 80%
excitement: 70%
anticipation: 60%

Very positive sentiment about scientific advancement

Reuters logo

Political Tensions Rise Over Budget Negotiations

tension
Reutersabout 1 year ago
Sentiment:😟 -0.35
tension: 60%
frustration: 50%
concern: 40%

Negative sentiment around political conflict

NPR logo

Community Comes Together to Support Local Charity

compassion
NPRabout 1 year ago
Sentiment:😊 +0.8
compassion: 80%
joy: 70%
trust: 70%

Highly positive sentiment about community support

The Guardian logo

Investigation Reveals Widespread Corporate Misconduct

disgust
The Guardianabout 1 year ago
Sentiment:😞 -0.7
disgust: 70%
anger: 60%
outrage: 50%

Strong negative sentiment about corporate wrongdoing

Headlines Analyzed
News Outlets
Emotion Types
Days of Data

This is just a preview. Sign up to explore live data from all major news outlets.

Get Started Free

Choose Your Plan

Start free, upgrade anytime. All plans include core features.

🌱

Free

Perfect for getting started

$0
forever
  • 3 days of history
  • Daily sentiment trends
  • Restricted emotion analysis
  • Outlet comparison
  • AI Insights
  • 2 exports per week
Get Started
Recommended
🚀

Supporter

For serious news enthusiasts

$5
per month
  • 14 days of history
  • Hourly sentiment trends
  • Dual emotion analysis (standard + restricted)
  • Outlet comparison
  • Compare similar headlines
  • AI Insights dashboard
  • 10 exports per week
Upgrade to Supporter
💼

Partner

Full transparency & unlimited access

$15
per month
  • 365 days of history
  • All time granularities
  • Dual emotion analysis (standard + restricted)
  • Advanced outlet insights
  • Multi-outlet AI summaries (3/week)
  • AI Insights + Cost analytics
  • Unlimited exports
Upgrade to Partner

All plans include access to core features. See detailed comparison