Financial Times Article Rating

Trump election victory deals blow to US clean energy industry

Nov 11, 2024 View Original Article
  • Bias Rating

    -16% Somewhat Liberal

  • Reliability

    45% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -51% 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

22% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

56% : it's a question of will President Trump allow America to keep being a leader in this space, or will he cede America's leadership role to other countries, especially adversaries like China," said Andrew Reagan, executive director of Clean Energy for America, which in October co-launched a six-figure ad campaign in support of Harris.
48% : Wood Mackenzie estimates a second Trump term could result in 500mn tonnes of additional carbon emissions in the energy sector by 2030.
47% : While Trump rolled back restrictions on fossil fuel production and emissions standards, he also renewed tax credits for solar and wind projects and electric vehicles.
45% : "Multiple executives and analysts told the FT that the economic case for renewable projects will continue under Trump and expect IRA tax credits for power generation and manufacturing to remain intact.
27% : Trump has repeatedly attacked the IRA on the campaign trail, calling it a "green new scam" and vowing to "terminate" the $370bn in federal support for clean energy under the law.
23% : Analysts expect offshore wind and electric vehicles to be hardest hit under Trump.

*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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