The politics of New Hampshire, America's quirkiest state, explained

Oct 13, 2022 View Original Article
  • Bias Rating

    -28% Medium Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    10% Center

  • Politician Portrayal

    98% 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

N/A

  •   Conservative
SentenceSentimentBias
"The growing educational polarization in the United States emphasizes just how out of the ordinary it is, as an ancestrally Republican state where voters have an aversion both to paying taxes and to attending church."
Negative
-8% Liberal
"It's these issues that candidates are focusing on in the general election, with television ads on abortion and the economy."
Negative
-14% Liberal
"(Sununu won by 30 percent and Shaheen won by 15 percent, in a state that Biden won by 7 percent.)"
Negative
-14% Liberal
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Bias Meter

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Center

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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

46% : The growing educational polarization in the United States emphasizes just how out of the ordinary it is, as an ancestrally Republican state where voters have an aversion both to paying taxes and to attending church.
43% :It's these issues that candidates are focusing on in the general election, with television ads on abortion and the economy.

*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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