"National laughing stock"

Jul 23, 2022 View Original Article
  • Bias Rating

    -98% Extremely Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    N/A

  • Politician Portrayal

    96% 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

SentenceSentimentBias
"The Hawley case is a fascinating case of self-sabotage."
Positive
26% Conservative
"Al Franken appears to believe this as well, as he mentioned it on MSNBC."
Positive
12% Conservative
"Answer -- Josh Hawley."
Positive
6% Conservative
"Hawley's name has become a buzzword for chicken."
Positive
0% Conservative
"The fact is Hawley poured gasoline on the insurrection and then took a match to it."
Negative
-6% Liberal
"If Hawley would show a bit of humility and apologize, things perhaps might get (a little) better for him."
Negative
-16% Liberal
"The ridicule and the mocking are a small price for Hawley to pay."
Negative
-16% Liberal
"Shame clearly is not a motivating factor for any number of Republicans still caught up in Trumpworld.Hawley has never apologized for attempting to reinstall a man who everyone around him knew had lost the election."
Negative
-26% Liberal
"A signature Hawley issue is masculinity -- as in how little of it American men seem to have these days."
Negative
-28% Liberal
"Hawley is not backing down."
Negative
-30% Liberal
"I believe there is a case to be made for charges to be brought against Hawley."
Negative
-32% Liberal
"Likewise, humility appears to also be a stranger to folks like Hawley."
Negative
-34% Liberal
"And they had other choice words for the cowardly Hawley."
Negative
-38% Liberal

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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

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*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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