It Seems Democrats Learned Nothing From Their Loss
- Bias Rating
- Reliability
25% ReliableLimited
- Policy Leaning
50% Medium Right
- Politician Portrayal
-25% 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
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
62% : Not only did Trump win the election, but he gained momentum in every single group and demographic while Vice President Kamala Harris didn't even come close.44% : So why would it work now that Trump is in office?
42% : Now, left-wing media pundits are trying to figure out how to drown out Trump -- much like they have for the past eight years since he first stepped into the political spotlight.
31% : " He added that his party will do everything in their power to block "any extreme positions" Trump tries to take.
23% : Democrat Rep. Ro Khanna (D-CA) appeared on CNN's "Situation Room" to devise a plan to turn Americans sour on Trump.
20% : Leading up to the election, Democrats spent billions of dollars warning Americans that Trump is a "threat" to democracy, that he's Hitler, he's dangerous, he's a facsist -- but in the end, their lies and smears didn't work.
17% : He declared that Democrats would use the "bully pulpit" to make the American people turn against Trump and from "making terrible choices.
9% : Harris and the mainstream media spent the entire election cycle demoralizing Trump and very little time on her actual policies and how her administration would differ from President Joe Biden's.
*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.