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Time is not the driving influence of forest carbon storage, U-M study finds

Mar 18, 2025 View Original Article
  • Bias Rating

    -10% Center

  • Reliability

    65% ReliableAverage

  • 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

7% Positive

  •   Liberal
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

55% : It was a lot of work and many years in the making," said Jason Tallant, data manager and research specialist at UMBS and a co-author of the research.
51% : " The study was based on data that the team generated and compiled over decades at the U-M Biological Station in northern Michigan, including research infrastructure such as the 150-foot AmeriFlux tower, which is part of a network of instrumented sites in North, South and Central America that measure ecosystem carbon dioxide, water and energy "fluxes," and other exchanges between the land surface and atmosphere.

*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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