Planet Last Is Not America First: Trump's Paris Exit Is A Mistake
- Bias Rating
64% Medium Conservative
- Reliability
35% ReliableFair
- Policy Leaning
84% Very Conservative
- Politician Portrayal
-60% Negative
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
15% Positive
- 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% : Renewable energy sources, particularly solar and wind, have become the most cost-effective means of electricity generation globally.45% : It's no wonder even ExxonMobil has lobbied Trump to stay in the Paris Agreement.
44% : But without federal coordination, climate and transition efforts will be more fragmented and less effective.
40% : By stepping away, the U.S. also loses a critical opportunity to shape the global climate agenda, allowing others -- most notably China and the EU -- to fill the leadership vacuum.
26% : Once again, Donald Trump is pulling the United States out of the Paris Agreement, leaving the U.S. as the only major emitting nation not part of this critical treaty.
22% : Right now, Trump is fiddling as Los Angeles (and the world) burns.
*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.