July to September 2025 and Anti-Muslim Hate Cases in the U.K.

September 26, 2025 Article

Tell MAMA has documented a significant rise in the numbers of anti-Muslim hate cases in the United Kingdom between July and September 2025. Victims of anti-Muslim hate that we have spoken to have experienced abuse, racism, and targeted hate. Many individuals have reported being told to “leave the UK” or “go back to their own country“—language that is both deeply offensive and rooted in xenophobia.

Between June to September 2025, we have noted that there have been 17 cases reported to Tell MAMA that have involved attacks on mosques or Islamic institutions. This makes on average, 4 institutions that have been targeted each month over 4 months. The graphic listed above, shows the scale of the issue that we are dealing with, whilst this Government tinkers round the edges, appoints people who have no real expertise in this work to try to address anti-Muslim hate, and generally is clueless and politically driven in who it works with. This Government has been in place for more than 15 months now and there has been a political vacuum, where there should be have been a clear plan to tackle levels of hate and specifically, anti-Muslim hate. Discussions about a ‘definition of anti-Muslim hate’ have wasted time, resources and generated more mistrust in this work, when the laws are clear and when better enforcement should have been the strategy. Whilst Government has been talking about a ‘definition of Islamophobia’ – it has led to a greater belief in some communities of a two-tier set of principles in relation to different communities and has not helped the work of countering anti-Muslim hate in any way.

Details and Statistics of Cases

Since July to September 2025, we have recorded the following in Tell MAMA:

913 cases that have targeted Muslims in the United Kingdom for anti-Muslim hate with many of those being people who were not born in the country and who are visibly different to the majority population.
17 mosques and Islamic institutions have been targeted which we have mapped out in the previous graphic. This is deeply alarming since attacks on mosques and Islamic institutions send a much wider message to those who use the mosque, that they are not safe. It creates greater fears within communities who use the faith institutions.
Victims of anti-Muslim have reported to us comments that have included, “Leave the U.K” and ‘go back to your country“. These comments are very similar to ones that were targeted at British Muslims and African Caribbean and African communities post the Brexit vote. This points to some association with the political discourse around migration and whilst these are topics of national debate, we are flagging the fact that they are having real-world impacts on the lives of people going about their daily activities. This targeting of individuals because of their perceived faith or their race, or around perceptions as to whether they ‘could be a migrant or asylum seeker’ is toxic to community relations, local trust and social cohesion going forward.

Commenting on the release of this data, the Director of Tell MAMA said:

“It is shocking to see the volume and the high numbers of cases that we are receiving into Tell MAMA. We have diligently documented, over the last 13 years, year on year rises in anti-Muslim hate and this year, we may well have the highest numbers surpassing the 2023-2024 figures of over 6,000 cases reported to Tell MAMA. This comes at a time when real political leadership is missing.”

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Categories: anti-Muslim attacks, anti-Muslim hate, Asylum, Community Cohesion, General, immigration, Islamophobia cases, June to September 2025, migration, mosques

How AI-generated images fuel anti-Muslim, anti-migrant sentiment online

September 17, 2025 Article

Academic research has warned that the continued normalisation of anti-Muslim stereotypes and racist conspiracy theories via AI-generated materials on social media is pushing some into targeting hotels with protests in recent weeks, according to a The Times newspaper article on the research.

The London School of Economics study analysed 622 posts from notable far-right sources, detailing how visualisations of racist conspiracies gained more amplification (around 30 per cent) than other content.

That academic submission appeared online in response to a House of Commons Home Affairs Committee that is investigating new forms of extremism, and it also drew attention to forms of racialised dehumanisation and algorithmic bias.

That submission contrasted how the GenAI-generated images depicted Muslim men as dirty and of carrying weapons in contrast to ‘heroic’ white men and ‘vulnerable’ white women threatened by racialised migrants, imagery informed by algorithmic bias.

They attributed the mobilisation of far-right violence after the murders and stabbings in Southport to a mixture of extremist content, fake news and conspiracy content circulating online.

Earlier this year, Tell MAMA closely monitored the social media accounts of far-right foreign agitators abroad (and a possible Russian connection) who first sought to exploit the far-right violence and disorder by taking footage of violence and using AI-generated materials to call for violence towards Muslims, migrant communities, and the police, using paid-for X accounts to add a veneer of legitimacy. One such AI-generated image we captured and used for this story had a racialised depiction of a Muslim man carrying a knife and a religious text. SightEngine detected with 99 per cent certainty that GenAI had generated it.

It was, however, on Telegram that the extremism flourished, with terrorist documents uploaded and encouragement from those who operated the channel to encourage individuals within the UK to vandalise mosques, with or without financial incentives. Sky News reported in late January 2025 that seven buildings, including mosques, community centres and a primary school in London, faced such vandalism with anti-Muslim and calls for their forced removal, triggering subsequent hate crime investigations. Tell MAMA worked closely with various police forces and counter-terrorism to pass on our evidence about the far-right group.

One recommendation called for Ofcom to develop a specialised unit to monitor AI extremism and combat any disinformation it spreads. Other submissions, however, including from The Alan Turing Institute, highlighted how AI could also help counter extremism. Recent research has also raised concerns that automated detection tools on social media are inconsistent in classifying hate speech.

Tell MAMA’s report, ‘The New Norm of anti-Muslim Hate,’ published earlier this year, detailed the harms of AI-generated materials on social media platforms like X (formerly Twitter) and Facebook. The report warned that “examples flagged with Tell MAMA make full use of the technology to push racialised, stigmatising, and criminalising tropes about Muslims – externalising Muslim men and women as distinct cultural, demographic threats to mythologised, monocultural themes of national identity.” Moreover, verified cases included racist, anti-Black tropes about white women and rape targeting Black Muslim communities, with similar examples of South Asian Muslim men targeting a white woman in Union Jack clothing.

Regarding Facebook, a member of the public alerted us to a self-styled “comedy” page in December 2024, which had re-uploaded a disturbing AI-generated video (originally uploaded to TikTok) of refugees having their boat stolen by machinery and left to drown, captioned “Splish splash” with hashtags such as “#comedy”. The platform, however, did not remove it, and as of writing, it boasts 1.8 million views.

A screenshot of the AI-generated video depicting the murder of refugees on a boat had gained 129k views on Facebook from a self-styled “comedy page”. Credit: Facebook.

A follow-up investigation into that same page months later revealed equally disturbing AI-generated videos, including one of an assault rifle firing upon and indiscriminately murdering refugees in a dinghy boat, with a caption about border “deterrence.” It received around 129k views, around a thousand thumbs up and 110 heart emoji responses, respectively.

In examples of cases flagged with Tell MAMA for the first half of 2025, some AI-generated materials linked Muslims to bestiality or promoted racist conspiracies concerning demographics. Another example repurposed old racialised memes – including one of a white male “sweeping” away Black and South Asian Muslim men and women from Europe.

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Categories: AI, News, X