Poll reveals why Trump was in step with election voters
- Bias Rating
58% Medium Conservative
- Reliability
10% ReliablePoor
- Policy Leaning
76% Very Conservative
- Politician Portrayal
-38% Negative
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By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
50% : To test how voters made their decisions, J.L. Partners asked 1006 people for the issue that was most important to them when they cast their vote for Trump or Harris.J.L. Partners gave 1006 voters a list of policy topics and asked: Which issue was personally most important to you in deciding your vote for presidentDonald Trump became the first Republican candidate to win the popular vote in 20 years when voters went to the polls on November 5Democrats are now grappling with the reasons why Vice President Kamala Harris lostSome 18 percent of respondents said it was inflation and the cost of living.34% : In polling before the election, Trump dominated in the key issues that decided the election.
7% : 'So in this case, this is yet another example of why Kamala Harris didn't have a shot.'Most Americans (56 percent) concluded that Joe Biden would not have done any better against Trump.
4% : Voters used words including 'woman' and 'Biden' alongside 'economy.'Harris voters when asked to share in a few words why they think Trump won the election and Harris lost, according to a poll conducted for DailyMail.comThe result is, that with ballots still being counted, Trump has 77.2 million votes, compared with 75.0 million for Harris.
*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.