
Why polls might not show a 'Trump surge' - Washington Examiner
- Bias Rating
- Reliability
75% ReliableGood
- Policy Leaning
50% Medium Right
- Politician Portrayal
-9% 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
-15% Negative
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
41% : In recent days, Trump has sat down with multiple young influencers, including several young men who boast millions of followers on social media.39% : "Trump is winning men who have not voted.
38% : "The youngest members of that group were just 10 years old when Trump was elected president and see this chaotic political era as normal.
37% : Polls have led political pundits astray in the past, particularly around the odds of Trump winning the presidency.
36% : Though Trump has declined to face off against Harris a second time, her campaign continues to hold out hope that another debate could happen.
28% : Biden's disastrous debate with Trump and subsequent campaign exit, Harris's swift ascension to the top of the Democratic ticket, and Robert F. Kennedy Jr.'s alliance with Trump are just a few matters pollsters didn't factor into their predictions just a few short months ago.
17% : Clinton's large lead in Wisconsin turned into a striking loss after Trump ended up flipping the state red for the first time since the Reagan era.
12% : In 2016, Trump defied expectations (and polling data) when he clinched the White House in a shocking victory against former Secretary of State Hillary Clinton.
*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.