Yahoo News Article Rating

FuelCell Energy, Inc. (NASDAQ:FCEL) Q2 2023 Earnings Call Transcript

Jun 11, 2023 View Original Article
  • Bias Rating

    -84% Very Liberal

  • Reliability

    30% ReliableFair

  • Policy Leaning

    -96% Very Liberal

  • Politician Portrayal

    63% 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

N/A

  •   Liberal
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

72% : In addition to the Inflation Reduction Act and the Infrastructure Investment and Jobs Act in the United States, global support for green energy includes the European Union's proposed approximately $270 billion program, also known as the European Green Deal and Korea's Clean Hydrogen Energy Portfolio standard, also known as Korea's Hydrogen Economy Roadmap.
67% : We are proud to be a global leader in clean energy technology.
66% : Our purpose is to enable a world empowered by clean energy.
64% : We believe our technologies and our culture provide the opportunity for our participation in the growth of the hydrogen economy and carbon capture market and will enable us to deliver on our purpose to enable a world empowered by clean energy.
61% : Generation revenues decreased to 8.4 million from 9.1 million, which is primarily the result of the timing of revenue recognition for the sale of renewable energy credits compared to the comparable prior year period.
59% : We believe that these policies will support and drive increasing demand for clean energy technologies to decarbonize power, produce hydrogen, and deliver resiliency, reliability, redundancy, energy security, energy independence, and affordability.
54% : Government incentives such as 45Q in the United States and the carbon border adjustment mechanism in the European Union are just two examples of the global support for reducing carbon emissions.

*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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