As Congress launches new Jan. 6 inquiry, a push for the truth

Jul 27, 2021 View Original Article
  • Bias Rating

    -6% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    2% 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

  •   Liberal
  •   Conservative
SentenceSentimentBias
"The report was shared with law enforcement partners at 7:37 p.m. on Jan. 5."
Positive
12% Conservative
"As the committee holds its first hearing Tuesday with law enforcement persoel, key questions still remain."
Positive
8% Conservative
"Yet the Capitol Police budget has grown significantly in recent years to $515 million - larger than that of some metropolitan police departments, and just $40 million less than Washington, D.C.'s, which has more than twice as many sworn officers and a far larger jurisdiction."
Positive
6% Conservative
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Bias Meter

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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

56% : The report was shared with law enforcement partners at 7:37 p.m. on Jan. 5.
54% : As the committee holds its first hearing Tuesday with law enforcement personnel, key questions still remain.
53% : Yet the Capitol Police budget has grown significantly in recent years to $515 million - larger than that of some metropolitan police departments, and just $40 million less than Washington, D.C.'s, which has more than twice as many sworn officers and a far larger jurisdiction.
38% : the District of Columbia's Metropolitan Police Department sent an email to law enforcement partners, including the Capitol Police, anticipating a protest on par with two previous pro-Trump gatherings in November and December.

*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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