Why Pa. voters, labor leaders, and academics think Democrats lost, and how they think they can win next time

  • Bias Rating

    Center

  • Reliability

    45% ReliableFair

  • Policy Leaning

    4% Center

  • Politician Portrayal

    18% Positive

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

Overall Sentiment

15% Positive

  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

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.

Copy link