NY Times Article Rating

As Solar Power Surges, U.S. Wind Is in Trouble

Jun 04, 2024 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    85% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    4% Positive

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

4% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

64% : When President Biden signed the 2022 Inflation Reduction Act, it was expected to set off a boom in renewable energy, with hefty tax breaks that would make solar and wind power cheaper than fossil fuels.
58% : Many plans for quickly shifting the country away from fossil fuels envision a large expansion of both solar and wind, because the two sources generate electricity at different hours and can complement each other.
58% : If wind power can't expand as quickly as many proponents hope, the United States would need to rely much more heavily on other technologies that can supply carbon-free power throughout the day, such as new nuclear reactors or advanced geothermal power.
56% : Some states are now trying to make it easier to build renewable energy: Illinois, Michigan and Minnesota have all passed laws making it harder for local governments to restrict wind and solar.
55% : In fact, some experts argue that the recent slowdown is only a temporary artifact of tax policy.
49% : "We have not seen examples of people being willing to risk arrest to stop solar projects," said Matthew Eisenson, who tracks opposition to renewable energy at the Sabin Center for Climate Change Law at Columbia University.

*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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