FOX 13 News Utah Article Rating

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Oct 08, 2021 View Original Article
  • Bias Rating

    24% Somewhat Conservative

  • Reliability

    N/AN/A

  • Policy Leaning

    24% Somewhat Conservative

  • Politician Portrayal

    N/A

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

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

56% : "From somebody on the criminal justice side, I absolutely want as many tools in my toolbelt to use," Chris Bertram worked in law-enforcement 31 years, and now runs Bertram and Associates private investigations and consulting.
55% : I think that case came out to really tell you that the capacity of law enforcement, and really the FBI, to take a cellphone and to put it within seconds and feet.
53% : Mejia said, "We worked to pass a bill that made that clear for Utah law enforcement that before you even start accessing third party records - held by your cellphone company or other tech companies - that you would need a warrant."
50% : "The expectation of privacy and the right to privacy does sometimes have reasonable, often reasons a good reason as law enforcement to overcome that," John Mejia, legal director with the ACLU of Utah says he believes information accessed after a judge agrees and officers prove probable cause for that suspect and his or her involvement in a case, or in an emergency situation, it is warranted.
47% : But when so much information from our personal lives is available to anyone in law-enforcement to access it in a bit of a fishing expedition, that's a different story, "This is an issue that we have been actively working on for years."

*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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