Bannon pleads not guilty in border wall scheme

Sep 08, 2022 View Original Article
  • Bias Rating

    -10% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    92% Negative

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
SentenceSentimentBias
"In that case, federal prosecutors alleged Baon and his co-defendants capitalized on public fervor over border security -- a pillar of Trump's presidential campaign -- and tricked thousands of people into thinking 100"
Negative
-8% Liberal
"As the president's chief strategist, he was at the forefront of many of the administration's most contentious policies, including its travel ban on several majority-Muslim countries, but was pushed out after less than a year."
Negative
-12% Liberal
"Last year, the Manhattan district attorney's office charged Ken Kurson, a friend of Trump's son-in-law Jared Kushner, with cyberstalking months after Trump pardoned him in a similar federal case."
Positive
0% Conservative
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Bias Meter

Extremely
Liberal

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Liberal

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Center

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Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

46% : In that case, federal prosecutors alleged Bannon and his co-defendants capitalized on public fervor over border security -- a pillar of Trump's presidential campaign -- and tricked thousands of people into thinking 100% of their donations would go to building a wall along the 1,933-mile U.S.-Mexico line.
44% : As the president's chief strategist, he was at the forefront of many of the administration's most contentious policies, including its travel ban on several majority-Muslim countries, but was pushed out after less than a year.

*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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