
Pa. Democrats on what went wrong against Donald Trump and what's next
- Bias Rating
- Reliability
45% ReliableAverage
- Policy Leaning
50% Medium Right
- Politician Portrayal
-20% Negative
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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
-6% Negative
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
50% : He noted that Trump carried or improved his margins in working-class towns in Lower Bucks County such as Tullytown and Falls Township.48% : Harris actually invested more time and campaign resources outside of Philadelphia and the suburbs than most Democrats have, but Trump still increased his margins in 65 of 67 counties.
45% : And she lost ground in rural and Rust Belt areas where Trump really juiced his margins.
43% : Most agreed it wasn't one thing but a combination of several: an electorate that wanted change and felt the economy was broken, a still, somehow, underestimated appreciation for how Trump personally connects with voters here, and the hard-to-compute factors, like the challenges Harris faced as a woman of color in a state that has elected few women to higher office statewide.
40% : Is there something unique about Trump that attracted them or did we do something as a party to drive them away?"
28% : And when it comes to rural communities, Democrats ignore how Trump drives up numbers there at their own peril, several strategists said.
10% : Coridsco said the Harris campaign focused too much on attacking Trump as a menace instead of focusing on her economic plans.
*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.