Counter Punch Article Rating

The Votes That Count

  • Bias Rating

    10% Center

  • Reliability

    85% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -19% 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

-25% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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100%
Conservative

Bias Meter

Contributing sentiments towards policy:

55% : On the one hand we have legal requirements that must balance between competing values and principles.
52% : State laws for non-federal elections still vary, and there are states where aliens can vote for local and state offices and referenda.
38% : Current cases about whether states can remove Trump from the ballot are another example.
37% : Candidates ultimately compete for electors in an electoral college-which means the candidate who wins the popular national vote may not win the election (e.g., Hillary Clinton beating Trump in 2016 by some 2.8 million votes but losing the Electoral College vote, plus four others who lost the popular vote but won election thanks to the Electoral College in our history: John Quincy Adams, Rutherford B. Hayes, Benjamin Harrison, and George W. Bush).
30% : In a nutshell: the arguments being made to keep Trump off the ballot use rules put in place to prevent the Confederacy from attempting to return to elected office or hold power in the public trust, because they could not be trusted to honor sworn oaths.
30% : "It is easy to forget that the case Trump v. Anderson is a test of legal principles.
22% : But the President is not chosen by the popular vote, George W. Bush and Donald Trump both lost the popular vote but managed to become President.
18% : It struck me for both how unremarkable the claim was (the complaints about immigrants and illegal immigrants voting are common, Trump and others have complained regularly since 2016) and ignorant of history such claims are.

*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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