The Fight to Define Green Hydrogen, With Billions of Dollars at Stake

  • Bias Rating

    10% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    N/A

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

N/A

  •   Liberal
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

54% : Clean-energy firms such as Vestas and Intersect, as well as environmentalists, have argued in recent comments to the IRS that those companies should have to effectively prove they are using green power by matching their hydrogen plant's electricity consumption to renewable-power generation on an hourly basis and making sure the green project is located in the same region.
49% :Not doing so means that some hydrogen plants tied to the electricity grid wouldn't in fact be green, some companies argue, and could at times be more carbon-intensive than conventional hydrogen made from natural gas, given that some regions remain reliant on coal to generate electricity.
33% : Industry leaders such as BP BP 2.78% PLC and NextEra Energy Inc. are arguing against renewable-energy companies including Vestas Wind Systems A/S and Intersect Power LLC over tax credits for hydrogen, a fuel that when made from renewable energy could reduce carbon emissions from transportation and other industrial sectors by replacing oil and gas.

*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.

Copy link