Press Release - Transcript PSC's Opening Statement
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-34% Somewhat Left
- Politician Portrayal
N/A
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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
19% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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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:
62% : Finally, to reiterate, Universal Healthcare entails strengthening primary healthcare and working towards equitable access to safe, effective, and affordable health services.60% : Programs like zero-balance billing can only be effective if they are properly supported by adequate infrastructure, sufficient operating funds, and enough human resource for health.
58% : It means decreasing deaths from communicable and non-communicable diseases including by a third from non-communicable diseases by 2030.
38% : And so when I signed the bicameral report, I indicated my objection because by law this must be delivered to the agencies.
*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.
