Special counsel Jack Smith says in final report that he could have convicted Donald Trump
- Bias Rating
24% Somewhat Conservative
- Reliability
55% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-50% 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
-4% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
32% : "Trump and his legal team fought to prevent the release of the report, saying it would interfere with his plans to take office on Jan. 20.21% : Now Smith has written a final two-volume report, including the newly released volume about how Trump allegedly conspired to overturn the 2020 election.
17% : WASHINGTON - Special counsel Jack Smith, whose office indicted President-elect Donald Trump on charges of trying to illegally stay in power after losing the 2020 election, said in a bombshell final report released early Tuesday that he believed his team had amassed enough evidence to convict Trump if the case went to trial.
16% : But late Monday night, Judge Aileen Cannon in Florida denied Trump's emergency motion to prevent its release.Smith's report provides the fullest description yet about the investigation that led to two federal indictments against Trump before both cases were dismissed.
*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.