What the Media Gets Wrong About Last Year's Uptick In Murders
- Bias Rating
-70% Medium Liberal
- Reliability
N/AN/A
- Policy Leaning
6% Center
- Politician Portrayal
36% Negative
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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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
49% : It will take years for researchers to understand the many causes of last year's uptick in homicides: an unprecedented pandemic that shattered American society for months, a breakdown in the social safety net, an increase in gun purchases, public alienation following police brutality, and so on.38% : After Michael Brown was killed by the Ferguson Police Department in 2014, law enforcement and criminologists falsely claimed that homicide rate increases could be attributed to police withdrawing from their duties after receiving public criticism and policy pushback for their brutal violence.
36% : The continued neglect of communities that now suffer from high rates of gun violence -- what abolitionist scholar Ruth Wilson Gilmore terms "organized abandonment" -- is the very same political process that sent hundreds of thousands of Americans to prison and diverted public funds away from welfare in favor of policing.
*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.