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The Guardian Article Rating

Trump and Musk want people to think college is not worth it. They are wrong | Carlo Invernizzi-Accetti

  • Bias Rating

    -32% Somewhat Liberal

  • Reliability

    75% ReliableGood

  • Policy Leaning

    -38% Somewhat Liberal

  • Politician Portrayal

    -2% 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

28% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

Contributing sentiments towards policy:

64% : The usual retort against this conception of higher education as an intrinsically valuable exercise in freedom is that it can at best be available to a privileged few.
58% : According to recent polls, the percentage of Americans who express "a lot of confidence" in higher education has declined from 57% to 36% over the past decade, and only about one in four now believe it is "extremely" or "very important" to have a college degree to get a well-paying job in today's economy.
53% : Already during his first presidential bid in 2016, Trump famously stated that he "loves the poorly educated".
51% : I take there to be a lesson in this also for our "employers-in-chief" - which is that the American dream they are so fond of referring to as well isn't for most people about rushing to serve them (more or less lucratively) on the job market, but rather about a more expansive life of freedom, of which higher education remains a core component.
38% : It is in this guise that both Trump and Musk recurrently attack higher education institutions as one of the as yet unconquered bastions of the "liberal America" they are now keen to tear down.

*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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