Mediaite Article Rating

What the Final Polls of the 2024 Presidential Election Tell Us About Who Will Win

Nov 04, 2024 View Original Article
  • Bias Rating

    44% Medium Conservative

  • Reliability

    65% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    2% Positive

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

12% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

56% : Kornacki also ran through the swing state numbers, which showed Trump leading in Arizona, North Carolina, and Georiga.
40% : Andrew Ross Sorkin noted in his Monday Dealbook newsletter from the New York Times that Selzer isn't the only pollster out there sounding the alarm for Trump with older women, particularly white women - a key GOP voting bloc.
31% : Kornacki concluded his analysis by discussing the bombshell Ann Selzer Des Moines Register poll out of Iowa that showed Harris up 4 points on Trump in a state he was tipped to comfortably win.
27% : Enten noted in his analysis that the likelihood that the polls have undersampled one side or the other is over 60 percent, meaning that its likely either Harris or Trump could score a 300 electoral vote win on Tuesday - despite the razor-thin polling.
13% : Many pundits and observers have argued that the Trump rally remark calling Puerto Rico "garbage" may have shifted the Hispanic vote away from Trump.

*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.

Copy link