
Trump Says That Jack Smith's "Fake Report" Is Dead. Don't Be So Sure.
- Bias Rating
- Reliability
85% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-43% 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
4% Positive
- Liberal
- Conservative
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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:
66% : Robert Mueller released his report -- into Trump's efforts to coordinate with Russia after the 2016 election -- while Trump was president.44% : It's also worth noting that these special counsel reports have consistently been viewed as critical for maintaining government transparency, and generally "people actually care about this," Fan said.
39% : So whether Trump likes it or not, Smith could still have the final word on the criminal cases that have plagued the president-elect for the past two years, right in time for Inauguration Day.
33% : The meat of their argument is that there is still an active appeal of Cannon's decision to dismiss, so Nauta and De Oliveira still stand a chance of going to trial, even if Trump doesn't.
30% : So this case against Trump is basically done.
29% : Nauta and De Oliveira argue that anything Smith writes -- even if it is just about Trump -- could harm their case in front of a jury.
20% : Smith's classified documents case against Trump was effectively stymied by Cannon.
15% : Trump, who was posted up at Mar-a-Lago and delivering a winding and classically deranged speech about various foreign policy issues, including whether the U.S. can take over Greenland, was quick to acknowledge the new development: "Why should he be allowed to write a fake report?
*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.