Clarence Page: Will Democrats learn from a humiliating loss?
- Bias Rating
46% Medium Conservative
- Reliability
30% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-27% 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
18% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
64% : But then Trump pulled out a victory more decisive than his 2016 victory over Hillary Clinton.59% : Harris and many other Democrats did little to explain the very real economic benefits the Biden-Harris administration brought to communities across the country, preferring instead to campaign on the threat Trump poses to women, minorities and the rule of law.
55% : While Harris promoted her jolly version of the politics of joy, Trump undermined the Democrats' coalition by pressing his own brand of the politics of grievance.
35% : Although women and minorities still preferred Harris, early data from AP VoteCast, a survey of more than 120,000 voters nationwide, suggests that Trump made some significant gains among these groups.
33% : Well, I tell you what, if you have a problem figuring out whether you're for me or Trump, then you ain't Black.
27% : While conventional politicians may pay less attention to those who don't bother to vote, Trump, like the seasoned salesman he is, saw political pay dirt in this group of persuadable voters who simply hadn't been brought off their sofas.
25% : That man was Joe Biden, and the unfortunate utterance in question happened more than four years ago when he was a former vice president vying to unseat Trump.
*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.