InvestorPlace Article RatingNo Endorsements Will Prevent This Election Shock
- Bias Rating
34% Medium Conservative
- Reliability
15% ReliablePoor
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-27% 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
-9% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
56% : Today, the election betting markets put Trump ahead by exactly 1% - 50.5% to 49.5% - in Pennsylvania.45% : Tulsi Gabbard, a former Democratic congresswoman, recently endorsed Trump as well.
41% : But in an election that will ultimately be decided by a small handful of swing voters in an even smaller handful of swing states, if even a modest number of RFK's voters follow his lead and cast a ballot for Trump, it could end up deciding the election.
32% : I'm not sure what her endorsement accomplished other than, perhaps, suggesting to Trump that she'd like a cushy Cabinet post if he wins.
26% : And the Democrats are clearly not done using the legal process to attempt to defeat Trump...
22% : They simply supported him as a way of thumbing their noses at Harris and 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.