NBC News Article Rating

These late-deciding voters could swing the election: From the Politics Desk

Nov 01, 2024 View Original Article
  • Bias Rating

    50% Medium Conservative

  • Reliability

    35% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -23% Negative

Bias Score Analysis

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

Overall Sentiment

5% Positive

  •   Liberal
  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

58% : And it was true in 2020, when the pandemic and debates played an oversize role in the election featuring Trump and Joe Biden.
53% : There was former Trump chief of staff John Kelly saying Trump praised Adolf Hitler while in office.
42% : One of the sets of questions the poll will be asking is about whether voters have changed their minds between Trump and Harris in the last few weeks -- and if so, why?Stay tuned for the results on Sunday.
39% : Plus, Trump and his team embrace RFK Jr.'s vaccine skepticism, and why every controversial comment and verbal gaffe could matter in a close race.
24% : They feel conflicted, especially about Trump, with cross-pressures on different policies and their impressions of the candidates pulling them in opposite directions.
22% : Late-deciding voters broke for Trump in 2020 and 2016, with some analysts and strategists in both campaigns crediting them for electing Trump eight years ago.
19% : One said they plan to vote for Trump, another that they are likely to vote for Harris, and another plans to not vote at all.
18% : And on Thursday night, Trump used violent rhetoric when talking about one of his foremost Republican critics, former Rep. Liz Cheney.

*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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