The first Election Day result was in a small New Hampshire town with just six voters. Here's how it went
- Bias Rating
30% Somewhat Conservative
- Reliability
55% ReliableFair
- Policy Leaning
40% Somewhat Conservative
- Politician Portrayal
-6% 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
7% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
50% : Dixville Notch's residents picked Hillary Clinton 4-2 to beat Trump in 2016 and went all in on Biden in 2020, but this year Trump actually picked up support in the township.48% : The 75-year-old told CNN before the vote that he felt as though Trump wanted Americans to pledge allegiance to him.
43% : One resident, Scott Maxwell, told the New York Times that he didn't see a split vote coming this year, and said that even he was surprised that he voted for Trump.
35% : "And I think at the end of the day, Trump has made it clear that you need to pledge allegiance to him, and he alone can fix this, and that is as anti-democratic as I can understand."
31% : This year three of the four Republicans voted for Trump, and one switched sides to vote 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.