Forbes Article Rating

Senate Democrats Call GOP's Bluff On Defund The Police Penalties, Preventing Green New Deal And More

Aug 11, 2021 View Original Article
  • Bias Rating

    20% Somewhat Conservative

  • Reliability

    N/AN/A

  • Policy Leaning

    40% Somewhat Conservative

  • Politician Portrayal

    -3% 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

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  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

53% : That sets the stage for Democrats to begin crafting what is expected to be a $3.5 trillion reconciliation package aimed at expanding Medicare, enacting immigration reform and implementing free community college - though some of those provisions could be stripped out by the Senate parliamentarian.
39% : Senate Democrats on Tuesday night and Wednesday morning repeatedly voted to pass Republican bills penalizing localities that defund the police, preventing the implementation of the Green New Deal and more -
23% : "While you were all sleeping, radical Democrats advanced a plan that will be known as the $3.5 trillion Communist Plan to Destroy America," former President Donald Trump said in a statement on Wednesday, adding "don't forget the crazy Green New Deal" despite Democrats all voting for Barrasso's amendment.

*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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