Opinion | The case for feeling good about Kamala Harris' campaign
- Bias Rating
12% Somewhat Conservative
- Reliability
85% ReliableGood
- Policy Leaning
40% Somewhat Conservative
- Politician Portrayal
9% Positive
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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
-1% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
62% : But that evening, it soon became clear that Trump would be able to claim victory, thanks in part to a surge of infrequent voters, a phenomenon his campaign is trying to replicate this time around.55% : Harris is gaining on Trump in polls on that front, as well.
44% : As for the candidates themselves, Trump may be benefiting from some voters' hazy memories of his first term, but remarkably Harris has managed to wrest the title of "change candidate" from him in the eyes of many voters.
24% : Trump has tried to soften his rhetoric, only to boast about his Supreme Court nominees ending Roe.
20% : Former Secretary of State Hillary Clinton was ahead in the polls going into Election Day, had won her debates against Trump and seemingly held every possible edge against him.
*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.