
American billionaires have long placed their thumbs on the scale of democracy -- but never like this.
- Bias Rating
- Reliability
70% ReliableGood
- Policy Leaning
50% Medium Right
- Politician Portrayal
-16% Negative
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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
13% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
67% : Musk was the guy who turned one of the world's biggest social-media platforms into a black hole of anti-immigrant agitprop.60% : Trump said so explicitly at a fundraiser early in the campaign, promising fossil-fuel executives a host of goodies -- including eliminating the electric vehicle mandate -- if they ponied up $1 billion to support his bid.
59% : He's on the ticket now, in part, because Thiel, like Musk, urged Trump personally to pick him.
52% : It was Musk who lobbied Trump to put JD Vance on the ticket.
47% : Vance got to the Senate because Thiel personally introduced him to Trump at Mar-a-Lago and spent $15 million to get him elected.
41% : I've mostly focused on Trump and his allies, and not Democrats, because this election in particular was asymmetrical.
27% : He has made peace with Trump, who has said Zuckerberg should face "life in prison" for taking down Covid misinformation during the pandemic.
25% : Sen. Tim Scott's primary challenge to Trump was supposed to be bankrolled by Larry Ellison, but the money never materialized.
20% : And he had hosted a glitchy and uncomfortable conversation with Trump on X.
16% : After Trump was shot, Zuckerberg called the former president a "badass."
*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.