David Axelrod Outlines Key Indicators of a Harris Win on Election Night
- Bias Rating
10% Center
- Reliability
80% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-26% Negative
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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
16% Positive
- Conservative
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Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
47% : "Voters know Trump, and there's a tremendous gender gap.38% : "If you push me against the wall and I look at all the data and I put the whole picture together, Trump maybe has a slight edge, but not anything that would be predictive.
35% : Is she doing better among Republican women?"The Harris campaign has long since focused on appealing to both women and disgruntled Republican moderates, both groups that Trump performs poorly with.
*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.