The Dispatch Article RatingHow We Kept Poverty Down in 2020
- Bias Rating
6% Center
- Reliability
N/AN/A
- Policy Leaning
12% Somewhat Conservative
- Politician Portrayal
54% Positive
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
N/A
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
Unlock this feature by upgrading to the Pro plan. | ||
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
52% : In particular, it includes non-cash benefits (like food stamps) and accounts for taxes and refundable tax credits (such as the earned income tax credit).48% : At the end of the year, the poverty rate before transfers and taxes was 3 points higher than at the end of 2019.
44% : The Columbia team publishes poverty trends before taking transfers and taxes into account, and as displayed in Figure 2, the 2020 trend shows a dramatic rise in poverty in April and
*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.