Vail Daily Article RatingRobbins: What is a special master?
- Bias Rating
22% Somewhat Conservative
- Reliability
N/AN/A
- Policy Leaning
-12% Somewhat Liberal
- Politician Portrayal
46% 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
N/A
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
| "In the Trump Mar-a-Lago case, the specific task which will likely be assigned is to ferret through the seized documents and parse out what, if anything, is protected by executive and/or attorney-client privilege from what is not as, as such, should not be introduced to poison potential criminal prosecution of the ex-president or others." | Negative | -12% Liberal |
| "In our highly partisan and divided nation, there is a brouhaha as well over whether the appointment of a special master should have been granted by the Trump-appointed judge in the first place." | Positive | 8% Conservative |
| "More specifically, following the FBI's service of a subpoena on the ex-president's Florida estate and the collection of reams of sensitive papers that the Justice Department claims he shouldn't have had, the Trump team moved a federal judge to do what they claimed was essential to prevent (employing a favorite Trumpian phrase) a witch hunt." | Negative | -4% Liberal |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
44% : In the Trump Mar-a-Lago case, the specific task which will likely be assigned is to ferret through the seized documents and parse out what, if anything, is protected by executive and/or attorney-client privilege from what is not as, as such, should not be introduced to poison potential criminal prosecution of the ex-president or others.*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.