Takeaways From Jack Smith's Report on the Trump Election Case
- Bias Rating
- Reliability
50% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-34% 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
10% Positive
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
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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:
22% : Smith said Trump would have been convicted at trial.19% : " Smith blamed Trump for the Capitol riot, but explained why he did not charge him with incitement.
19% : He wrote that his team did not develop sufficient direct evidence -- like an explicit admission or a communication with his co-conspirators -- to establish that Mr. Trump had the criminal intent "to cause the full scope of the violence that occurred on Jan. 6." Trump was a challenging target to investigate.
*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.