The US presidential election is 2 days away. Here's where things stand.
- Bias Rating
46% Medium Conservative
- Reliability
55% ReliableFair
- Policy Leaning
44% Medium Conservative
- Politician Portrayal
8% Positive
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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
14% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
64% : Shortly before Biden left the race, he held a small advantage with women, while Trump fared much better with male voters.58% : Meanwhile, Trump has appeared on podcasts that appeal to conservative-leaning male listeners and seems to have attracted some significant support from young Black and Latino men, according to polling.
56% : Throughout the campaign, Trump has benefited from unease over the economy, a consistently top issue for voters.
45% : A late October New York Times/Siena College survey of likely voters showed Trump ahead of Harris by 14 points among men (55% to 41%), while Harris held a 12-point edge over Trump (54% to 42%) with women.
42% : The three states -- which both Harris and Trump have crisscrossed in their hunt for votes -- contain urban, suburban, and rural areas that will be key for each candidate in the race.
31% : In 2016, Trump breached the blue wall, winning all three states by making inroads with working-class voters that had previously supported former President Barack Obama, including a critical bloc of independents and union workers.
25% : Voters in the Sun Belt have been focused on the economy and immigration, two issues that benefit Trump.
18% : Trump appeared favored to win Arizona, Georgia, Nevada, and North Carolina when he was running against Biden.
*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.