How Donald Trump Climbed Back Onto The Forbes 400
- Bias Rating
- Reliability
10% ReliableLimited
- Policy Leaning
50% Medium Right
- Politician Portrayal
-29% 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
52% 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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Contributing sentiments towards policy:
58% : Mar-a-Lago generated an estimated operating profit of $23 million in 2023, roughly three times as much as it earned when Trump was in office, boosting the value of the club 15% in the last year to an estimated $375 million.48% : Then again, Trump could just cash out, reneging on his word and, in doing so, perhaps cementing a windfall large enough to solidify his position on The Forbes 400 for years to come.
46% : But Trump, who invested next to nothing in the venture, is still way ahead, and back on The Forbes 400 with an estimated $4.3 billion fortune.
45% : Obsessed with The Forbes 400 since its incarnation four decades ago, Trump has struggled to stay on the list since his presidency ended.
44% : That question may depend on what Trump decides to do with his shares in Truth Social's parent company.
35% : But business didn't go as Trump hoped, and he fell off the list again in 2023, having attracted roughly 6.5 million users, less than one-tenth his followers on Twitter.
26% : This spring, Trump paid off a $12 million loan against Trump Plaza in New York City.
21% : Trump holds an estimated $413 million in cash, more than he typically stores on his balance sheet but not enough to take care of his legal troubles.
18% : While Trump appeals three rulings -- from a fraud case and two libel suits -- interest continues to accrue at about $4 million per month.
*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.