How the grooming gangs scandal was covered up
- Bias Rating
10% Center
- Reliability
80% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
N/A
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
-32% Negative
- 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:
43% : While fears over racial tensions and political correctness have left the state frequently unwilling to protect victims, the same concerns have seen attackers protected.38% : Across the country, in towns and in cities, on our streets and in the state institutions designed to protect the most vulnerable members of our society, authorities deliberately turned a blind eye to horrific abuse of largely white children by gangs of men predominantly of Pakistani heritage.
38% : As former Labour MP for Keighley Ann Cryer put it, the authorities "were petrified of being called racist and so reverted to the default of political correctness".
37% : In Rotherham, a senior police officer told a distressed father that the town "would erupt" if the routine abuse of white children by Pakistani heritage men became public knowledge.
*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.