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Rethinking criminal justice reform: A family-centered approach

  • Bias Rating
  • Reliability

    N/AN/A

  • Policy Leaning

    -22% Somewhat Left

  • Politician Portrayal

    -6% 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
SentenceSentimentBias
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Bias Meter

Contributing sentiments towards policy:

56% : Johnson recounted her experience in a recent webinar on criminal justice reform with Sen. Mike Lee and others.
53% : This fall, the Orrin G. Hatch Foundation will publish a new report highlighting the benefits of a family-centered approach to criminal justice policy.
50% : Taking a proper account of the needs, challenges, and potential positive impact that family members can have on individuals in the criminal justice system can lead to better policy outcomes and a fuller understanding of the consequences of criminal justice decisions.
50% : Conservatives should be committed to developing and supporting a family-centered approach to criminal justice reform.
49% : A family-centered approach to criminal justice reform also focuses on reducing barriers to reentry.
48% : To begin, a family-centered approach to criminal justice reform concentrates on sustaining family relationships during incarceration.
48% : Concrete steps could include additional reforms to mandatory minimums, further reducing the sentencing disparity for crack and powder cocaine, and ending the unfair practice of allowing judges to take into account acquitted conduct during sentencing.
39% : Yet, all too often, policymakers overlook the centrality of the family in the debate over criminal justice reform.

*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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