5 steps toward a fresh approach to health care reform
- Bias Rating
4% Center
- Reliability
25% ReliablePoor
- Policy Leaning
6% Center
- Politician Portrayal
4% Negative
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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
38% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
67% : Health care is delivered in a local setting, and the quality of care you receive is largely linked to what is available locally.55% : We should also make them available to Medicaid, Medicare and ObamaCare patients using their benefit dollars.
53% : One example of how this could be done is block grants and waivers in Medicaid, which would empower states and local communities to best cover and improve the health of vulnerable populations.
50% : Instead, the Centers for Medicare and Medicaid Services should leverage its position to be a facilitator of change at the local level rather than an imposer of change.
36% : This means strengthening price and quality transparency for providers, so patients and self-insuring companies can find the best value for their health care dollars.
36% : Health care is a moral issue first, economic second.
*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.