The Columbian Article Rating

Estrich: Court firm on Trump's claims

  • Bias Rating

    34% Medium Conservative

  • Reliability

    40% ReliableFair

  • Policy Leaning

    84% Extremely Conservative

  • Politician Portrayal

    -44% 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

-11% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

54% : Trump needs four votes from the justices to agree to hear the case, and five votes to stay the case.
34% : "As well, the court made clear that the context, the certification of the election, mattered, although Trump had made clear that he intended to invoke absolute immunity in his defense of all four criminal cases against him.
34% : To do otherwise would plunge the inevitable trial into the summer convention schedule and the fall general election, which will trigger a new round of Trump complaints and further undercut the court's ability to keep itself out of the business of partisan politics, which is already threatening its legitimacy.
33% : "Any mistake, even if well intended, would be met with almost certain indictment by the opposing party at term end," Trump posted on Jan. 19 on Truth Social.
30% : "In yet another sign of the court's resolve, they took the unusual step of giving Trump only six days to appeal their decision to the Supreme Court, rather than the 21-day period that losers usually have to seek review.
26% : "Trump had argued that without absolute immunity, every former president would be subject to second guessing, and criminal charges.
17% : The underlying charges accuse Trump of conspiring to overturn President Joe Biden's election as president.

*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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