
Why Pa. voters, labor leaders, and academics think Democrats lost, and how they think they can win next time
- Bias Rating
- Reliability
45% ReliableAverage
- Policy Leaning
4% Center
- Politician Portrayal
18% Positive
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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
15% Positive
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Contributing sentiments towards policy:
48% : " -Cassius James, 38, Mural Arts artist, South Philadelphia "I do think that people in higher education such as myself -- professors and academics -- need to do a better job of talking to folks about the terminology that we use and what the messaging looks like ... I think it can be alienating and seen in some kind of way as frivolous and indulgent and not directly connected to their lives.*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.