Exclusive: Trump Leads Harris 48 to 47 in Final 2024 Kaplan Poll of 'Gender Turnout' Election
- Bias Rating
42% Medium Conservative
- Reliability
65% ReliableFair
- Policy Leaning
46% Medium Conservative
- Politician Portrayal
-13% 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
5% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
76% : "Trump's support has been as resilient as any politician in American history, but unlike other popular politicians, Trump has incredible unfavorables -- but so does she," he said.55% : According to Pew Research, in the 2020 presidential election, Trump won 44 percent of women, compared to his 39 percent in 2016.
50% : "Trump has the support of 56 percent of male voters but only 39 percent of female voters," the pollster said.
47% : "When I worked with Pat Caddell in the 2016 election, he insisted that I open up my results to all registered voters because so many of Trump's voters are off-the-grid, and voting for Trump might be the only time they ever vote," he said.
39% : "In 2020, Biden got eight million extra votes in those two states that had nothing to do with the Electoral College -- by states -- so, if even if Trump were down by three points, it would really be like a tie," he said.
15% : Trump leads with Catholics; Harris leads with atheists, agnostics"Even when Harris was on her hot streak, where nothing she did went wrong, she could not break out and build a lead over Trump," Kaplan said.
11% : "Trump's lead is inside the margin of error; the five percent undecided should break for Trump because he has established himself as the challenger," Kaplan said.
*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.