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Reform councillor suspended over racism allegations
- Reform suspended newly elected Sunderland City Council member Glenn Gibbins following allegations of racist social media posts made in 2024. Gibbins won his seat in Thursday's local elections.
- Brought to light by Hope Not Hate, the 2024 social media posts include remarks complaining about the "amount of Nigerians in town" and suggesting officials "Should melt them all down and fill in the pot holes!!".
- Durham County Council deputy leader Darren Grimes confirmed the suspension, stating the party is investigating the "very serious allegations" and acknowledging it represented "a failure of the vetting process."
- Education Secretary Bridget Phillipson criticized the incident on Sunday With Laura Kuenssberg as "the kind of racism and division" Reform introduces to politics. A Labour Party spokesperson called it "utterly grotesque."
- Facing intense scrutiny for allegedly failing to "call out clear racism," Reform deputy leader Richard Tice maintained the party has "internal party processes" to address inappropriate behavior and emphasized recent electoral successes.
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Councillor under investigation over racism allegations
“I condemn anything that is wrong and inappropriate, but the key point is voters have heard all of this smearing and sneering against all of us and they voted for more Reform because they want action, they want delivery, they’re sick of the failures of the Tories and Labour.” Article Attribution | Read More at Article Source [mwai_chat context=”Let’s have a discussion about this article:nn”I condemn anything that is wrong and inappropriate, but …
Reform councillors faced accusations of racism and calls to resign
Daniel Devaney topped the poll in his Bradford ward despite a post in which he described Muslims as 'pure scum'. He told his local paper: "I said it while I was in a bad mood and watching TV. It was on and I just let off steam"
·London, United Kingdom
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Coverage Details
Total News Sources6
Leaning Left4Leaning Right0Center2Last UpdatedBias Distribution67% Left
Bias Distribution
- 67% of the sources lean Left
67% Left
L 67%
C 33%
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