Three myths about the global energy crisis
- Bias Rating
-6% Center
- Reliability
N/AN/A
- Policy Leaning
-50% Medium Liberal
- Politician Portrayal
N/A
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:
66% : More low-carbon energy would have helped ease the crisis -- and a faster transition from fossil fuels towards clean energy represents the best way out of it.64% : The US government just put into law the Inflation Reduction Act, giving a boost to a huge array of clean energy technologies, from solar, wind and electric vehicles to carbon capture and hydrogen.
53% : I talk to energy policymakers all the time and none of them complains of relying too much on clean energy.
53% : The world's biggest economies are pushing hard on clean energy.
45% : When people misleadingly blame clean energy and climate policies for today's energy crisis they are, intentionally or not, moving the spotlight away from the real culprits -- the gas supply crunch and Russia.
*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.