Breaking911 Article RatingBREAKING: Woman Pleads Guilty to Mailing Envelopes to President Trump with Homemade Ricin - Breaking911
- Bias Rating
12% Somewhat Conservative
- Reliability
20% ReliablePoor
- Policy Leaning
-10% Center
- Politician Portrayal
12% Negative
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-100%
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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
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
| "Ferrier then drove a car from Canada to the Peace Bridge Border Crossing in Buffalo, New York, on Sept. 20, 2020, where border patrol officials found her in possession of a loaded firearm, hundreds of rounds of ammunition and other weapons." | Negative | -6% Liberal |
| "Ferrier was detained in the State of Texas for around 10 weeks in the spring of 2019, and she believed that the law enforcement officials were coected to her period of detention." | Negative | -12% Liberal |
| "Ferrier placed the ricin in envelopes containing letters she wrote to then-President Trump at the White House and to eight Texas State law enforcement officials." | Negative | -6% Liberal |
| "The letters in the envelopes contained threatening language, and the letter addressed to then-President Trump instructed him to [g]ive up and remove [his] application for this election." | Negative | -6% Liberal |
Bias Meter
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Contributing sentiments towards policy:
47% : Ferrier then drove a car from Canada to the Peace Bridge Border Crossing in Buffalo, New York, on Sept. 20, 2020, where border patrol officials found her in possession of a loaded firearm, hundreds of rounds of ammunition and other weapons.44% : Ferrier was detained in the State of Texas for around 10 weeks in the spring of 2019, and she believed that the law enforcement officials were connected to her period of detention.
*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.