The Guardian Article Rating

Kamala Harris, unlike Donald Trump, was well prepared for this debate - and won | Rebecca Solnit

  • Bias Rating

    50% Medium Conservative

  • Reliability

    45% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -18% 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

3% Positive

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

41% : She also expertly riled up Trump and let him go, and he went raging and free-associating throughout the 90 minutes.
38% : Trump didn't answer the climate question at all, and that was that.
27% : Harris spoke in lucid paragraphs, but Trump spouted lurid, loopy stuffThe Trump-Harris debate was the most unsurprising thing that ever happened, except maybe for the part when, unlike previous debates, the moderators, David Muir and Linsey Davis, pressed Trump to actually answer the question or noted that what he said was extremely not true at all.
16% : Trump wasn't quite as incoherent as in some of his recent public soliloquies, but he did say some very odd stuff, such as when he declared of Biden: "We have a president who doesn't know he's alive."
16% : They and Harris went after Trump when he said, as he's been saying since at least 2019 in defense of the anti-abortion position, that mothers and doctors are killing babies at or after birth - in other words that abortion rights are the same thing as infanticide (which, yes, is extremely illegal).
7% : In other words, Trump was Trump and Harris was Harris, but the debate moderators were far, far better than Dana Bash and Jake Tapper of CNN during the disastrous 27 June debate.

*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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