New York Post Article Rating

Botching anti-money-laundering move, Biden weakens national security

Mar 06, 2023 View Original Article
  • Bias Rating

    52% Medium Conservative

  • Reliability

    25% ReliablePoor

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -43% 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:

56% : We know this model works because it's already operational in other countries -- indeed, the United Kingdom's world-leading registry is accessed almost every day not only by UK law enforcement but US counterparts too.
54% : This information will be stored securely in a Treasury Department-administered registry, accessible only to law-enforcement agencies and US banks for the purposes of combating illicit finance.
49% : They can amend their plans to reflect Congress' intention for a more robust anti-money laundering system that helps law enforcement and the private sector work together to keep Americans safe.
46% : Iran used one to secretly maintain ownership of a Fifth Avenue skyscraper for two decades, claiming rent payments from unsuspecting American tenants.
44% : Under Biden's bureaucrats' final rules, state, local and tribal law enforcement -- those on the front lines of the fight against fentanyl -- will face a mountain of paperwork to access information that could be time-critical in saving American lives.
34% : And that means America will become an even more attractive place for the cartels to sell fentanyl, for Iran and Russia to evade the very sanctions we impose on them and for China to keep stealing our commercial and military secrets.

*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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