Nigel Farage told to 'man up' by Reform MP
- Bias Rating
6% Center
- Reliability
N/AN/A
- Policy Leaning
12% Somewhat Conservative
- Politician Portrayal
12% Negative
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
N/A
- 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:
37% : He said he had thought 'long and hard' about standing but concluded 'it is not the right time'.Nigel Farage (pictured, in Brussels in April) was told to 'man up' by a Reform UK MP after he announced he would not be standing at the General ElectionFormer Tory party deputy chairman Lee Anderson (pictured, in February), who defected to Reform in March, phoned Mr Farage after the former Ukip leader ruled out standingRead More Reform 'could cost the Tories 28 seats' even though Nigel Farage U-turned on plan to run as an MP as insurgent party's votes threaten to hand constituencies to LabourHe added that although the General Election was important, the US election in November 'has huge global significance', and that he had offered to help with the grassroots campaign for Donald Trump there as a 'strong America... is vital for our peace and security'.*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.