Steve Bannon issues stern warning to Trump about new billionaire ally
- Bias Rating
12% Somewhat Conservative
- Reliability
20% ReliablePoor
- Policy Leaning
58% Medium Conservative
- Politician Portrayal
-17% 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
-18% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
66% : Zuckerberg dined with Trump at Mar-a-Lago after the election, donated $1 million to his inauguration and sat down with him a second time on Friday.59% : Musk became a staunch and vocal Trump supporter after the first failed assassination attempt against Trump during a rally in Butler, Pennsylvania in late June this summer.
50% : Meanwhile, Bannon served as a chief strategist and senior counselor to Trump for just seven months at the start of his first term from January to August 2017.
48% : Bannon served as a chief strategist and senior counselor to Trump for just seven months at the start of his first term from January to August 2017
46% : On Monday, Bannon said Zuckerberg and other Big Tech CEOs were now 'supplicants' to Trump because he 'is coming in with the American people.'
46% : 'I don't care how much he grovels to Donald Trump now as a supplicant.
45% : Meta users will be able to share 'allegations of mental illness or abnormality when based on gender or sexual orientation, given political and religious discourse about transgenderism and homosexuality'.
11% : Trump selected him to co-lead his Department of Government Efficiency (DOGE), a new group he created with the aim of cutting government waste and reducing the budget.
*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.