Inside the Global Race to Turn Water Into Fuel
- Bias Rating
-22% Somewhat Liberal
- Reliability
50% ReliableFair
- Policy Leaning
-44% Medium Liberal
- Politician Portrayal
-62% Negative
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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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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
62% : Saul Griffith, a prominent inventor in renewable energy who started his career at an Australian steel mill, doesn't see a big role for green hydrogen.60% : Blast furnaces, freight trains, cargo ships and the gargantuan trucks used in mining require heavy fuels like coal and oil.
57% : Green hydrogen is made by using renewable electricity to split water's molecules.
57% : Last year, government subsidies sped up action in the European Union, India, Australia, the United States and elsewhere.
56% : In the Pilbara region of Western Australia, and in dozens of spots around the globe endowed with abundant wind and sun, investors see an opportunity to generate renewable electricity so cheaply that using it to make green hydrogen becomes economical.
51% : One issue is that China, which produces most of the world's solar panels, wind turbines and renewable energy tech, hasn't embraced electrolyzer production.
49% : Nevertheless BP, too, sees an inevitable shift toward green hydrogen driven by increasingly stringent regulations in the United States, European Union, Japan and South Korea.
48% : Analysts said there was a shrewd calculus to that: China is heavily invested in coal, and much of that is tied to steel and cement production.
*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.