Is a Dam in Rural Portugal a Key to Our Alternative Energy Future?
- Bias Rating
-96% Very Liberal
- Reliability
45% ReliableFair
- Policy Leaning
-96% Very Liberal
- Politician Portrayal
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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
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- Liberal
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
72% : "This was quite an exceptional project," said Martin Burdett, news editor of the International Journal on Hydropower and Dams.62% :Tapping a reservoir and using its water to spin underground turbines allows engineers to create renewable energy on demand.
61% : Hundreds of billions of dollars are being spent across the globe on solar energy and wind power.
60% : Iberdrola executives say plans by governments in Europe and elsewhere to increase wind and solar energy mean more demand for facilities like the one on the Tâmega.
60% : Despite this, the Tâmega project won a seal of approval from the European Investment Bank, the lending arm of the European Union, which has provided a €650 million loan.
59% : Mr. Burdett, of the International Journal on Hydropower and Dams, said existing hydroelectric plants would be modernized to conserve water.
57% : It is also providing an answer to one of the most vexing questions facing renewable energy.
57% : Pumped storage plants can also provide, in essence, energy insurance to install even more sources of clean power generation, aiding the effort to tackle climate change, analysts say.
45% : While these technologies churn out electric power free of greenhouse gas emissions, they generate an energy stream that is less steady than a traditional power plant fueled by coal, natural gas or a nuclear reaction.
*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.