'Show them what mean really is': Influencer calls on Dems to start bullying MAGA
- Bias Rating
10% Center
- Reliability
70% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-39% 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
22% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
54% : Supporters of Donald Trump celebrate after the Fox Network called the election in his favor at the site of his rally, at the Palm Beach County Convention Center in West Palm Beach, Florida, November 6. REUTERS/Brian Snyder After losing the White House and both chambers of Congress to President-elect Donald Trump and his MAGA movement, one social media influencer is hoping that Democrats will abandon civility and get in the trenches.37% : Lambert frequently goes viral in her roasts of Trump supporters, and is hoping other Democratic voters will follow suit during the second Trump administration.
16% : Dem gov explains why calling Trump 'weird' is most 'effective attack line'
6% : " READ MORE: 'Soft and old': Critics ridicule Trump after inauguration is moved inside away from MAGA Lambert fondly recalled when Minnesota Democratic Governor Tim Walz (Vice President Kamala Harris' running mate) called Trump and Vice President-elect JD Vance "weird" during the 2024 campaign cycle.
*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.