- Bias Rating
14% Somewhat Conservative
- Reliability
45% ReliableFair
- Policy Leaning
42% Moderately Conservative
- Politician Portrayal
62% Negative
Extremely
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Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
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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
-41% Negative
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
"The location where the individual set themselves on fire on April 19 is across the street from the courthouse where President Trump faces a criminal trial, in which he has pleaded not guilty and which he has called a politically-motivated witch hunt." | Negative | -68% Liberal |
"An unidentified individual set themselves on fire across the street from a Manhattan courthouse just minutes after the full jury was selected in former President Donald Trump's criminal trial that alleges falsification of business records." | Negative | -34% Liberal |
"The location where the individual set themselves on fire on April 19 is across the street from the courthouse where President Trump faces a criminal trial, in which he has pleaded not guilty and which he has called a politically-motivated witch hunt." | Negative | -36% Liberal |
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
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Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
16% : The location where the individual set themselves on fire on April 19 is across the street from the courthouse where President Trump faces a criminal trial, in which he has pleaded not guilty and which he has called a politically-motivated "witch hunt.*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.