Indy Week Article Rating

Javiera Caballero, Durham Mayor

Sep 11, 2021 View Original Article
  • Bias Rating

    -30% Somewhat Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    -30% Somewhat Liberal

  • Politician Portrayal

    17% Positive

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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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

61% : Additionally, if we are approved for the Green Source Advantage program with the county it will allow Durham's government to power itself mostly through renewable energy sources.
59% : We have approved a resolution supporting several federal advocacy items suggested by the RETF, including federal reparations for the descendants of enslaved people, universal basic income, and a jobs guarantee.
54% : Some of the highlights include:Creation of the new Community Safety Department Funding for the affordable housing bond An increase of $6 million annually for green and equitable infrastructure in our CIP Funding for eviction diversion Funding for the DEAR program Funding for a language access coordinator Funding for joint city/county immigrant and refugee rights coordinator Funding for an immigrant legal defense fund Funding for free bus fare through June of 2022 Staff to ensure enforcement of the non-discrimination policy council passed in January 2021
51% : I also believe that some functions traditionally housed in the police department can be more efficiently and effectively handled in ways that reduce the often unreasonable expectations that we place on law enforcement.

*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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