Forbes Article Rating

The Polls Give Us One Data Point, But Not The Whole Story

Sep 10, 2024 View Original Article
  • Bias Rating

    -6% Center

  • Reliability

    60% ReliableFair

  • Policy Leaning

    -6% Center

  • Politician Portrayal

    -52% 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

25% Positive

  •   Liberal
  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

64% : Trump wins 46 times out of 100."Professor Allan Lichtman, "who has correctly predicted almost every presidential election since 1984" with his 13 keys methodology, predicts Kamala Harris will win.
48% : The lack of polling accuracy has been getting lots of press in recent years and pollsters have been defending their practices with more transparency and complicated metrics, but without values and emotions defining the results, numbers don't tell the whole story.Consider a sampling of recent diverse approaches and predictions:The New York Times/Siena College Poll, a more traditional approach, has Trump ahead by one percentage point.538 who "uses polling, economic, and demographic data to explore likely election outcomes" reports that "Harris wins 53 times out of 100 in our simulations of the 2024 presidential election.

*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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