Biden cuts off clean energy exports while Kenyans cook with dung
- Bias Rating
82% Very Conservative
- Reliability
25% ReliablePoor
- Policy Leaning
48% Medium Conservative
- Politician Portrayal
20% 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
25% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
66% : This high level of energy consumption supports a wide array of economic activities - and a standard of living that is among the highest globally.63% : Access to reliable and affordable energy is a cornerstone of economic development, facilitating industries, improving education and health care services, and ultimately, enhancing the quality of life - even lifespans - the average American lifespan in 2020 was 77.3 years, vs. 61.7 in Kenya.
60% : The transition to renewable energy sources requires significant investment in technology, infrastructure and capacity building.
59% : Kenya generates 3300 MW of electricity with about 80% of the power consumed from clean energy sources.
57% : About 45% of Kenya's power is from geothermal, 40% from hydro, 15% from fossil fuels and 5% from solar and wind.
56% : The country's landmass, at 224,960 square miles, is slightly smaller than Texas but larger than California, highlighting the vastness of the region that energy solutions are required to meet.
53% : The IMF's four reasons as to why the Kenyan government should end fuel subsidies ignore the fact that every other industry is run by the energy industry and therefore, higher energy prices means tougher economic times.CLICK HERE TO GET THE FOX NEWS APPThe IMF knows that fuel subsidies promote the use of fossil fuels.
*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.