EconoTimes Article Rating

Donald Trump Taps Stephen Miller for Deputy Chief of Staff Role: 'Expect Major Changes on Day One!' - EconoTimes

Nov 11, 2024 View Original Article
  • Bias Rating

    2% Center

  • Reliability

    35% ReliableFair

  • Policy Leaning

    44% Medium Conservative

  • Politician Portrayal

    -37% 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

29% Positive

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

51% : A Return to Hardline Policy-MakingStephen Miller's anticipated role as Deputy Chief of Staff for Policy is expected to bring a renewed focus on stringent immigration laws, national security, and conservative social policies.
51% : "His presence in the administration will ensure that policies are enacted swiftly and effectively."Setting the Stage for 2024Miller's expected role signals a clear intention by Trump to set a combative tone as he builds his potential administration for 2024.
49% : Sources close to Trump suggest that Miller's influence could be central to implementing some of Trump's more ambitious policy goals, including a more rigorous approach to border security, restrictions on asylum seekers, and rollbacks on progressive regulations.
36% : "On the other hand, conservative allies of Trump have welcomed Miller's anticipated appointment, arguing that his policy expertise and commitment to conservative principles are assets.
17% : As the 2024 election nears, Stephen Miller's anticipated appointment marks a definitive move toward a more assertive approach to policy-making, potentially setting the stage for a contentious White House if Trump is re-elected.

*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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