Why is Kamala Harris referring to Donald Trump and JD Vance as 'weird?' The phenomenon, explained
- Bias Rating
10% Center
- Reliability
50% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-12% 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
7% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
48% : The Right has been engaging in name-calling and other juvenile tactics since Trump started his campaign in earnest back in 2016.26% : Trump may have set the new norm, but the Republican demagogue's supporters don't like the rules of the game now that Joe Biden has left the race.
24% : While referring to the damage Trump has inflicted - and will continue to inflict - on women's rights, Walz said he felt the rhetoric "gives him way too much power.
23% : He continued saying it was, "Very weird" that after more than 6 years in the public eye, Trump had never laughed.
18% : "Trump says and does outlandish things all the time, but as Walz put it, "You never see this guy laugh, you never see him do 'normal things.'"
17% : Trump has been slinging mud for nearly a decade while his supporters basked in the mean girl glow.
*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.