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From police radios to airport security, here's how 9/11 changed local law enforcement in Minnesota

Sep 12, 2021 View Original Article
  • Bias Rating

    4% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    -36% Somewhat Liberal

  • Politician Portrayal

    -26% 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

Contributing sentiments towards policy:

53% : The Minnesota Fusion Center was formed in 2005 -- the BCA says the intent is to share information between government agencies, law enforcement and the private sector about threats to public safety, homeland security and critical infrastructure.
51% : The changes haven't come without criticism, such as local law enforcement becoming more militarized.
48% : In ways big and small, visible to the public and not, the terrorist acts on the East Coast 20 years ago also brought about new practices for local law enforcement in Minnesota.
48% : The Minnesota Fusion Center has funding for seven BCA analysts -- they're not licensed officers but have criminal justice training.
47% : It's something that Minnesota Bureau of Criminal Apprehension Superintendent Drew Evans acknowledges, but he said he views the equipment as making law enforcement and communities safer.
42% : They and law enforcement quickly determined it was not --
42% : Evans said the Minnesota Fusion Center uses open-source information, such as publicly-viewable social media posts, and doesn't track individuals unless there's a criminal investigation -- and in those cases, the information is handed over to law enforcement for investigation.

*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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