
The global energy crisis could accelerate a clean energy revolution, IEA says
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-10% Center
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
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
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:
60% : But the IEA predicts that renewed investment and interest in clean energy projects could change that.52% : "Today's energy crisis is delivering a shock of unprecedented breadth and complexity," according to the IEA's report, which added that the biggest "tremors" have been felt in natural gas, coal, oil, and electricity markets.
51% : The IEA warned that current levels of renewable energy use were "far from enough" to provide relief to consumers during the current energy crisis.
48% : Prices for renewable energy, meanwhile, have only played a "marginal role" in raising electricity costs, which means a clean energy transition could be a solution to the energy crisis, according to the IEA, Russian President Vladimir Putin has blamed Europe's green drive as the reason behind the continent's current energy woes.
*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.