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Shutdown talks fail, 150,000 US civil servants face early retirement?

  • Bias Rating
  • Reliability

    35% ReliableAverage

  • Policy Leaning

    82% Very Right

  • Politician Portrayal

    -53% 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

-20% Negative

  •   Liberal
  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

54% : Democrats want subsidies under the Affordable Care Act, covering around 24 million Americans, to be enshrined in the budget.
48% : Several agencies, from the Department of Justice to the Social Security Administration, have circulated internal memos openly blaming Democrats for the crisis.
45% : According to indiatimes.com, the 55-to-45 vote on Tuesday forced the government to shut down "non-essential" services starting Wednesday (30/9), including scientific research and several public services.
41% : Democrats demanded increased healthcare subsidies be included in the budget bill, while Republicans rejected tying health issues to government spending.
38% : "We will lay off a lot of people," Trump said.
36% : Trump has also frozen billions of dollars already approved by Congress, raising questions among Democrats as to why they should pass a new budget when earlier funds remain unspent.
22% : " Hopes of a compromise briefly flickered after a White House meeting, but were dashed when Trump later posted a deepfake video portraying Democrat leaders with Mexican stereotypes, deepening Washington's political divide.
10% : Republican Senator John Thune countered: "The left's determination to oppose everything President Trump says or does is not a good enough reason to make the American people suffer through a shutdown.

*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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