
Red Flags
- Bias Rating
-82% Very Liberal
- Reliability
N/AN/A
- Policy Leaning
-72% Very Liberal
- Politician Portrayal
-51% 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
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
51% : Again and again, as the pivotal day approached, top law enforcement officials fielded warnings of what was to come, but failed to respond in kind.48% : The FBI passed the information to law enforcement agencies in D.C. but did not pursue the matter.
43% : The Department expected and planned for violence from some protesters with ties to domestic terrorist organizations, but nobody in the law enforcement or intelligence communities imagined, on top of that threat, Americans who were not affiliated with those groups would cause the mayhem to metastasize to a volume uncontrollable for any single law enforcement agency," the department said in a statement.
41% : The paralysis that led to one of the biggest security failures in the nation's history was driven by unique breakdowns inside each law enforcement agency and was exacerbated by the patchwork nature of security across a city where responsibilities are split between local and federal authorities.
30% : and his team had spotted increasing signs that supporters of President Donald Trump were planning violence when Congress met to formalize the electoral college vote, but federal law enforcement agencies did not seem to share his sense of urgency.
21% : As Trump propelled his supporters to Washington, law enforcement agencies failed to heed mounting warnings about violence on Jan. 6.
*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.