Tens of thousands attend London anti-immigration march
- Bias Rating
- Reliability
30% ReliableAverage
- Policy Leaning
12% Somewhat Right
- Politician Portrayal
-15% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
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
-11% Negative
- 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:
60% : Ms Haynes said police were aware of a record of "anti-Muslim rhetoric and incidents of offensive chanting by a minority" at previous protests, but said London's communities should not feel like they have to stay at home.48% : Tens of thousands of protesters have marched through central London, carrying flags of England and Britain, for a demonstration organised by the anti-immigrant and anti-Islam activist Tommy Robinson.
44% : Supporters call it a spontaneous campaign of national pride, but anti-racism campaigners see a message of hostility to foreigners.
34% : "Hundreds of thousands already pack the streets of central London as we Unite as one for our freedoms," Robinson said on X. Robinson, whose real name is Stephen Yaxley-Lennon, describes himself as a journalist exposing state wrongdoing and counts US billionaire Elon Musk among his supporters.
*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.