
This article won't change your mind. Here's why | Sarah Stein Lubrano
- Bias Rating
- Reliability
65% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-60% Negative
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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
-8% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
57% : I'm a researcher who studies the intersection of psychology and politics, and my work has increasingly led me to believe that our culture's understanding of how political persuasion works is wrong.56% : And the implicit societal acceptance that they do is getting in the way of other, more effective forms of political thinking and doing.
48% : Sociological research shows that people in countries such as the US and the UK are more isolated and less mobile than ever before.
44% : To reconcile two contradictory beliefs (that presidents shouldn't do x, and that Trump should be president), an enormous number of Republican voters simply changed their mind about the former.
40% : For example, before Trump was convicted of various charges in 2024, only 17% of Republican voters believed felons should be able to be president; directly after his conviction, that number rose to 58%.
27% : In fact, Republican voters shifted their views on more or less all the things Trump had been convicted of: fewer felt it was immoral to have sex with a porn star, pay someone to stay silent about an affair, or falsify a business record.
10% : In the age of Donald Trump, Elon Musk and the rise of the far right, commentators have endlessly opined on the problems of fake news, polarisation and more.
*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.