MSNBC's Steve Kornacki Breaks Down How Two States Could Turn Show Unexpected Results On Election Day
- Bias Rating
50% Medium Conservative
- Reliability
75% ReliableGood
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
5% 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
22% Positive
- Liberal
- Conservative
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Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
54% : In fact in 2020, in the closing days of that campaign, remember all the polling as I was saying was pointing at something pretty big for Biden in 2020, it was this same poll, the Saturday before the election in 2020, that caught that Trump was still very strong in the midwest states, very strong with blue collar white voters that ended up being why the election was so close in 2020.48% : ""This poll caught a phenomenon in '20 that other polls weren't and it's catching this: Harris up by 3 in a state that Trump won by a little more than 8 points last time," Kornacki continued.
45% : The candidates have witnessed an historically massive gender divide with Trump securing a significant lead among men by an 18-point margin, while Harris holds a 57% to 41% advantage among women, according to final election polling by NBC News.
24% : The massive gender gap in the Des Moines Register poll caused Harris to snatch an edge against Trump, Kornacki said.
22% : Trump took a 50.2% to 49.8% lead against Harris in New Hampshire, a state that a Republican presidential candidate has not won since 2004, according to a New Hampshire Journal/Praecones Analytica poll.
15% : Trump and Harris are at a deadlock tie of 49% to 49%, according to NBC News' polling.
*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.