Raw StoryJudge in Trump criminal case notifies parties of online comment claiming juror knowledge
- Bias Rating
- Reliability
50% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-58% 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
-13% Negative
- 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:
46% : " ALSO READ: 'That's the Kool-Aid': Republicans triple down on Trump the morning after guilty verdict The UCS notice in question was posted one day before the verdict was handed down.35% : "My cousin is a juror and says Trump is getting convicted; Thank you folks for all your hard work!!!!" said the comment, which, according to Merchan, "responded to a routine UCS notice, posted on May 29, 2024, regarding oral arguments in the Fourth Department of the Appellate Division unrelated to this proceeding.
27% : The comment in question came from a user identified as "Michael Anderson" around the same time Trump was convicted on 34 felony charges.
*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.