Daily Mail Online Article RatingBallrooms, bathrooms, and storage closets: Trump indictment explained
- Bias Rating
98% Extremely Conservative
- Reliability
N/AN/A
- Policy Leaning
N/A
- Politician Portrayal
98% Negative
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-100%
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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
| Sentence | Sentiment | Bias |
|---|---|---|
| "In a text message, a Trump employee asked another employee about the possibility of moving boxes from business center to storage, so staff could use the business center as an office." | Positive | 14% Conservative |
| "From January 20 to March 15, 2021 some of Trump's boxes were stored in Mar-a-Lago's White and Gold Ballroom, where this evidence photo shows them stacked on the ballroom's stageTrump was charged alongside Walt Nauta (above), an aide and close adviser who prosecutors say ferried boxes of classified information around Mar-a-LagoMarch 2021For reasons unspecified in the indictment, Nauta and other employees moved Trump's boxes from the ballroom to the business center at the Mar-a-Lago Club." | Positive | 12% Conservative |
| "From January 20 to March 15, 2021 some of Trump's boxes were stored in Mar-a-Lago's White and Gold Ballroom, where this evidence photo shows them stacked on the ballroom's stageTrump was charged alongside Walt Nauta (above), an aide and close adviser who prosecutors say ferried boxes of classified information around Mar-a-LagoMarch 2021For reasons unspecified in the indictment, Nauta and other employees moved Trump's boxes from the ballroom to the business center at the Mar-a-Lago Club." | Positive | 12% Conservative |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
% :*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.