A new age of politics is upon the world -- as toppled leaders lose...
- Bias Rating
78% Very Conservative
- Reliability
40% ReliableFair
- Policy Leaning
92% Very Conservative
- Politician Portrayal
-18% 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
16% 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:
52% : Yet, for all the advantages, the Democrats got clobbered by Trump on Nov. 5.39% : Their methods included censorship of the digital platforms, corruption of artificial intelligence, judicial persecution, "debanking" -- removing disliked entrepreneurs from the financial system, just because they could -- and unleashing the IRS and the regulatory apparatus against critics.
38% : In the last four years, reactionary elites led by the Biden administration have conducted an unprecedented campaign to freeze the status quo by destroying that combed-over agent of change -- Trump.
34% : Jill Biden appeared to make googly eyes at Trump.
31% : A pretext was invented to keep the populist candidate, Calin Georgescu, from winning the presidency -- something Biden lacked the ingenuity to do with Trump.
26% : Trump has appointed the persecuted to lead the institutions that persecuted them -- people like Robert F. Kennedy Jr., Tulsi Gabbard and Jay Bhattacharya.
23% : Trump and Macron arm-wrestled for a long and awkward minute.
22% : This is the sort of thing people accuse Trump of wanting to do.
7% : On Nov. 5, Donald Trump, having risen like a zombie from the political grave and barely survived being well and truly assassinated, decisively defeated Kamala Harris in the US presidential election.
*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.