Race in America: Rep. Pramila Jayapal on Policing, Immigration and Political Change

Source: Washington Post - View Original Article
Published: Jul 14, 2020
Category:
Bias Rating:

92% Liberal


Bias Score Calculation:

This article includes the following sentiments, providing an average bias score of 92% Liberal:

  • 1 positive sentiment for Anti-Discrimination Laws


Policies:

Anti-Discrimination Laws

Sentiments

  •   Liberal
  •   Neutral
92% "Rep. Pramila Jayapal (D-Wash.) is a civil rights activist who represents most of Seattle and is the first Indian-American to serve in the U.S. House of Representatives."
75% "As protesters around the country call for an end to police brutality and discrimination, she is working for change in law enforcement across the country, including the banning of federal facial recognition."
73% "A Brown Woman's Guide to Politics and Political Change."
-62% "Jayapal joins Washington Post national political reporter Robert Costa to discuss her new book, Use the Power"


*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization

Extremely
Liberal

Very
Liberal

Moderate-left

Neutral

Moderate-right

Very
Conservative

Extremely
Conservative

100%

100%

Contributing sentiments towards policy:

92% : Rep. Pramila Jayapal (D-Wash.) is a civil rights activist who represents most of Seattle and is the first Indian-American to serve in the U.S. House of Representatives.
75% : As protesters around the country call for an end to police brutality and discrimination, she is working for change in law enforcement across the country, including the banning of federal facial recognition.
73% : A Brown Woman's Guide to Politics and Political Change."
38% : Jayapal joins Washington Post national political reporter Robert Costa to discuss her new book, "Use the Power

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization

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