Why climate change activists have failed to score public support
- Bias Rating
-10% Center
- Reliability
90% ReliableExcellent
- Policy Leaning
-10% Center
- Politician Portrayal
2% Positive
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
N/A
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
62% : Sure, Guardian headline writers can straight-up declare "The beauty of a Green New Deal is that it would pay for itself" -- this is nothing more than that "marketing" to which our green friends supposedly are so averse.50% : In the intergovernmental sector, you have everybody from the United Nations to the International Monetary Fund ringing the climate alarm bells, while in the private sector you can count on the likes of BlackRock, Goldman Sachs and other corporate titans to do the same.
46% : The signatories of the Paris Agreement are far from meeting their climate obligations; the $100 billion a year in climate-finance commitments promised at the UN climate summit in Glasgow have not been fully funded; even in the European Union, the leaders of which take a much stronger climate line than their US counterparts, there has been no radical change.
*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.