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EurekAlert! Article Rating

For solar power to truly provide affordable energy access, we need to deploy it better

  • Bias Rating
  • Reliability

    70% ReliableGood

  • Policy Leaning

    -68% Medium Left

  • Politician Portrayal

    -62% Negative

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

Overall Sentiment

33% Positive

  •   Liberal
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Bias Meter

Contributing sentiments towards policy:

61% : Such studies offer insights for better deployment of solar technologies to alleviate energy poverty wherever people are struggling to afford and gain access to solar power, the researchers said.
60% : Notably, the largest use of solar power was for charging mobile phones, which are ubiquitous in Malawian households.
59% : For comparison, 97% of household rooftop solar panels installed in the U.S. last year output between 400 and 460 watts, according to EnergySage, an online clean energy marketplace.
56% : While working with the research team, Dai began to suspect that households with access to solar power were engaging more with mobile money.
55% : Study in Malawi -- a country with one of the lowest energy access rates on the planet -- reveals obstacles, opportunities for household solar power systems Small household solar power systems have been gaining traction -- and investment -- as means to provide affordable and sustainable energy to those living without access to electricity.

*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.

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