Opinion | D.C. housing subsidies shouldn't be based on income only

Source: Washington Post - View Original Article
Published: Jan 23, 2020
Category:
Bias Rating:

89% Liberal


Bias Score Calculation:


Policies:

Socialized Healthcare
War on Drugs
Taxes
Welfare
Common Core

Sentiments

91% "This system could be further refined for other criteria, such as no availability of alternate affordable housing (positive points) or drug use (negative points).""
89% "Incomes higher than a certain minimum (based on size of family and poverty level) could earn negative points, while providing positive points for showing ..."
51% "Using income as a criterion for determining subsidies is legitimate and understandable.""
50% "The methodology used by the District to determine housing subsidies seems to overly rely on income levels and is in need of improvement.""
-54% "So as the mother earns more income, the subsidy comes down.""


*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:

91% : This system could be further refined for other criteria, such as no availability of alternate affordable housing (positive points) or drug use (negative points).
89% : Incomes higher than a certain minimum (based on size of family and poverty level) could earn negative points, while providing positive points for showing incentive by working overtime.
51% : Using income as a criterion for determining subsidies is legitimate and understandable.
50% : The methodology used by the District to determine housing subsidies seems to overly rely on income levels and is in need of improvement.
46% : So as the mother earns more income, the subsidy comes down.

*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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