Decade-Old Post Warns New Yorkers About Jordan Neely: 'Stay Away from the Michael Jackson Impersonator'

  • Bias Rating

    -10% Center

  • Reliability

    95% ReliableExcellent

  • Policy Leaning

    -10% Center

  • 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

SentenceSentimentBias
"Decent people should be genuinely saddened for Neely's family and friends, but the left's cries for a murder charge for restraining an individual undergoing a psychotic break with no law enforcement in sight are misplaced and erroneous."
Negative
-30% Liberal
"Meanwhile in a tweet on Sunday, Department of Homeland Security (DHS) Public Affairs Assistant Secretary Marsha Espinosa said that DHS Secretary Alejandro Mayorkas has been briefed on the tragic situation in Brownsville and has reached out to local leaders to offer condolences and the full support of the Department.Brownsville has been an epicenter for migration across the U.S.-Mexico border."
Positive
0% Conservative
"Former President Donald Trump invoked Title 42 in 2020 in response to the COVID-19 pandemic, freeing U.S. authorities to expel migrants to their home country -- or the country from which they most previously lived -- without undergoing a formal asylum process."
Negative
-2% Liberal
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Bias Meter

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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

35% :Decent people should be genuinely saddened for Neely's family and friends, but the left's cries for a murder charge for restraining an individual undergoing a psychotic break with no law enforcement in sight are misplaced and erroneous.

*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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