Understand the bias, discover the truth in your news. Get Started

Atmospheric Chemist Susan Solomon Awarded the 2026 Tang Prize in Sustainable Development, Unraveling the Mystery of the Ozone Hole and Advancing Global Environmental Governance

  • Bias Rating

    20% Somewhat Right

  • Reliability

    40% ReliableAverage

  • Policy Leaning

    20% Somewhat Right

  • Politician Portrayal

    N/A

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

45% Positive

  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

60% : Her proposed mechanism of heterogeneous chemical reactions showed that, under the extremely cold conditions of the Antarctic stratosphere during winter and spring, polar stratospheric clouds (PSCs) form, and the surfaces of their ice crystals provide highly effective reaction sites.
50% : Her major contributions include proving that chlorofluorocarbons (CFCs) were indeed the cause of the widening ozone hole in Antarctica; proposing the heterogeneous chemical reactions that explain ozone hole formation; demonstrating that the impacts of CO₂ emissions are largely irreversible for more than 1000 years; and co-leading the production of the United Nations Intergovernmental Panel on Climate Change (IPCC)'s Fourth Assessment Report on the Physical Science Basis of Climate Change, which comprehensively synthesized key knowledge in climate science.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

Category
Topic
Copy link