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CBS News Article Rating

Buffalo shooting suspect's prior threat sent him to mental hospital

  • Bias Rating
  • Reliability

    N/AN/A

  • Policy Leaning

    -66% Medium Left

  • 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

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Bias Meter

Contributing sentiments towards policy:

45% : Law enforcement officials revealed to The Associated Press that New York State Police troopers had been called to Gendron's high school last June for a report that Gendron, then 17, had made threatening statements.
44% : The revelation raised questions about whether his encounter with police and the mental health system was yet another missed opportunity to put a potential mass shooter under closer law enforcement scrutiny, get him help, or make sure he didn't have access to deadly firearms.
44% : Buffalo Police Commissioner Joseph Gramaglia said Gendron had no further contact with law enforcement after a mental health evaluation that put him in a hospital for a day and a half.
42% : The long list of mass shootings in the U.S. involving missed opportunities to intervene includes the 2018 massacre of 17 students at a high school in Parkland, Florida, where law enforcement officials had received numerous complaints about the gunman's threatening statements, and the killings of more than two dozen people at a Texas church in 2017 by a former U.S. Air Force serviceman who was able to buy a gun despite a violent history.
36% : The White gunman accused of committing a racist massacre at a Buffalo supermarket made threating comments that brought police to his high school last spring but he was never charged with a crime and had no further contact with law enforcement after his release from a hospital, officials said.

*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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