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Mother Jones Article Rating

After 2024, We Need to Rethink "Ground Game" Completely

Mar 13, 2025 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    70% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -6% 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

4% Positive

  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

53% : This was perhaps the narrative-of-all-narratives on liberal social media at the tail end of the election: that Harris had a major advantage over Donald Trump because of the strength of her "ground game.
44% : Trump swamped her in all of the seven swing states where her campaign had made their major investments.
34% : Hillary Clinton supposedly had a major advantage in "ground game" in her contest against Trump, too.
29% : Trump, on the other hand, had largely outsourced his field operations to a constellation of inexperienced, risible individuals.
19% : In the end, Trump won not just all of the truly important contested states, but also either contending in or carrying several places that Clinton's supposedly sophisticated operation never even thought of as competitive.
10% : There was even a final big headline to fit Harris's main attack on the 45th president and gain the many moderates: Former White House Chief of Staff John Kelly declared Trump a fascist in the New York Times -- which was made into a key push at the end of Harris' campaign.
5% : Remember when -- following a comedian calling Puerto Rico "garbage" at the Trump campaign's capstone rally -- Latino voters would reject 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.

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