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How important is conceding elections? Poll finds contrast in Trump, Harris supporters
- Bias Rating
62% Medium Conservative
- Reliability
45% ReliableAverage
- Policy Leaning
74% Very Conservative
- Politician Portrayal
-3% 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
36% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Medium Conservative
62%
Contributing sentiments towards policy:
69% : The vast majority of voters, 72%, said they believe that, should Trump win, "Harris will accept the results and publicly acknowledge that Trump won.46% : Just 24% said they believe Trump would concede.
44% : Trump has repeated these claims on the campaign trail this year, and has refused to unequivocally say he would accept the results of the November election.
23% : In contrast, 74% of voters said they believe that, if Trump loses, he will not accept the outcome and acknowledge Harris as the legitimate president.
15% : The poll comes nearly four years after Trump declined to concede he lost the 2020 election against President Joe Biden and made baseless claims that the election was rigged.
4% : Would Trump and Harris concede? The poll also found a sharp divide in voter opinions on whether Trump and Harris will admit defeat if they lose in November.
*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.


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