CMA Begins Private Dentistry Review
- Bias Rating
- Reliability
55% ReliableAverage
- Policy Leaning
-20% 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
33% Positive
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
56% : Areas under consideration include: Access to private dentistry: The availability of private dental services in different areas, and how easily people can switch between providers.Consumer choice and experience: How people search for dental care, compare providers, and understand the information they receive from dental professionals - including how experiences may vary for different consumer groups, such as vulnerable individuals.Treatment prices: How prices for private dental services have changed compared with inflation.Business tactics and behaviour: Whether dentists engage in any practices that may be unfair, misleading or anti‑competitive that could harm consumers or limit their choice.Competition between private dentists: How dental practices compete to attract and retain patients, and whether competition is leading to good results for consumers on pricing, and experience.Complaint and redress mechanisms: Whether people can easily raise concerns or seek redress when things go wrong.Sector regulation: Whether the regulatory frameworks - and how they are enforced - support good outcomes for consumers, including access to clear information.55% : This could include recommendations to governments to change regulation of the sector, direct action from the CMA, or new guidance to help ensure businesses are clear on their obligations.
*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.