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The Guardian Article Rating

Billionaires spent record amounts during 2024 federal election - report

  • Bias Rating

    Center

  • Reliability

    55% ReliableAverage

  • Policy Leaning

    N/A

  • Politician Portrayal

    -10% 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

41% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

54% : Musk, who has spent the weeks since Trump's inauguration slashing the federal workforce as the head of the so-called "department of government efficiency", set new standards of financial influence by bankrolling candidates and causes; his Super Pac spent roughly $200m to secure Trump's second term.
50% : Just 100 extremely wealthy families invested $2.6bn during the election cycle that put Trump back in the White House Billionaires spent record amounts during the 2024 federal election, according to a new analysis from Americans for Tax Fairness, a coalition of more than 420 national, state and local organizations advocating for economic reforms.
50% : "Elon Musk and some of the world's wealthiest families spent record amounts to secure trillions in tax breaks and deregulation, using cuts to vital services like healthcare, education, and nutritional support to pay for it.
41% : The report's findings show that during the election cycle that put Donald Trump back in the White House and seated Republican majorities in both the House and Senate, just 100 extremely wealthy families invested $2.6bn - an amount more than double what billionaire donors contributed just four years prior.

*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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