AlterNet Article Rating

'Justice has been delayed enough': Columnist calls on court to stop Trump's 'gamesmanship'

  • Bias Rating

    -92% Very Liberal

  • Reliability

    75% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -57% 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

-18% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

46% : "If, as expected, the panel rules against Trump, he is entitled to ask the full appeals court for rehearing, and then to seek Supreme Court review...
36% : She argued that each passing day helps Trump in his overall goal to evade a conviction in a criminal trial until after the November election -- when his second administration could theoretically have the federal cases against him dismissed, or a conviction overturned with a presidential pardon to himself.
34% : In a Friday essay, Post associate editor Ruth Marcus lambasted the three judges on the panel -- Michelle Childs, Karen Henderson and Florence Y. Pan -- for their ongoing foot-dragging in handing down a decision that will definitively state whether Trump is immune from criminal prosecution for acts committed during his time in the White House.
34% : "READ MORE: Chutkan slams Trump in latest ruling rejecting immunity argument: No 'divine right of kings'Marcus then called for "strict supervision and swift action" to prevent the former president from exploiting the appeals process to burn months off the calendar, then use the nominating convention and general election to justify postponing the trials until after the election.

*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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