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Antisemitic and Islamophobic hate crimes surge across London, police data shows
Antisemitic and Islamophobic hate crimes surge across London, police data shows Metropolitan Police record 255 antisemitic hate crimes in May, while Islamophobic hate crimes also rose by 33 per cent between April and May - Bookmark Antisemitic hate crimes recorded in May by the Metropolitan Police in London jumped by 72 per cent month-on-month, while Islamophobic hate crime was up by a third, figures show. Some 255 antisemitic hate crimes were logged by the force in May, up from 148 in...
Challenger at MultiPRIDE: Is It Hate Speech or Reclaimed?
arXiv:2606.01298v1 Announce Type: new Abstract: The spread of hate speech has become increasingly harmful in modern digital environments, particularly on social networking platforms. While recent advances have shown promising results in automatic hate speech detection, a key challenge remains: distinguishing genuine hate speech from reclaimed language. Accurate labeling is difficult due to the nuanced and context-dependent nature of reclaimed expressions.
'I'm a secret lottery millionaire - but I'm working a job I hate because my family's financially illiterate'
'I'm a secret lottery millionaire - but I'm working a job I hate because my family's financially illiterate' One lucky lottery winner has revealed how her millions haven't yet changed her life, as she is working a job she hates and has even taken up driving an Uber for more cash A woman who secretly scooped a lottery jackpot has revealed she is still holding down a job she hates while also working as an Uber driver despite having won millions. The secret millionaire, who claimed to have...
FBHM: Functional Benchmarking and Steering of VLMs for Hateful Meme Detection
Announce Type: new Abstract: Hateful meme detection remains a formidable challenge for vision-language models, as existing benchmarks are structurally observational - confounding rhetorical hate mechanisms with target community features and preventing causal evaluation of model vulnerabilities. To address this, we introduce FBHM, a systematically curated benchmark of Functionality Based Hateful Memes constructed along two orthogonal axes: 25 distinct rhetorical functionalities and 10 target...
Communities on edge as faith-based hate crimes spike across the West
Communities on edge as faith-based hate crimes spike across the West From a California mosque shooting to instances of antisemitic violence in Australia and Britain, experts warn political polarisation and online extremism are fuelling a surge in faith-based hate crimes. SAN DIEGO, California: Nine-year-old Odai Shanah huddled with dozens of classmates inside a closet, trembling in fear as gunshots rang out at the Californian mosque where they attend school. The May 18 shooting at the...
Reasoning-Aware Multimodal Fusion for Hateful Video Detection
arXiv:2512.02743v2 Announce Type: replace Abstract: Hate speech in online videos is posing an increasingly serious threat to digital platforms, especially as video content becomes increasingly multimodal and context-dependent. Existing methods often struggle to effectively fuse the complex semantic relationships between modalities and lack the ability to understand nuanced hateful content. To address these issues, we propose an innovative Reasoning-Aware Multimodal Fusion (RAMF) framework.
Iran war live: Trump in sweary call to Netanyahu as he says 'everyone hates you'
Trump in sweary call to Netanyahu as he says 'everyone hates you' Donald Trump has reportedly lashed out at Benjamin Netanyahu after Israel threatened to launch strikes on targets in Beirut and ordered residents to evacuate Donald Trump has called Benjamin Netanyahu "f****** crazy" in an expletive-laden phone call demanding that Israel call off strikes on Lebanon. A US official reportedly told news outlet Axios that Trump said: "You'd be in prison if it weren't for me. Everybody hates you now.
Dealing with Annotator Disagreement in Hate Speech Classification
Announce Type: replace Abstract: Hate speech detection is a crucial task, especially on social media where harmful content can spread quickly. Collecting social media content (tweets etc.) to train machine learning models is easy, but detecting and categorizing hate speech can be difficult due to the inherently subjective nature. This subjectivity leads to frequent disagreement among annotators, particularly for subtle or borderline content.
Stand up to Racism blasts those 'spreading their message of hate' after Henry Nowak murder
Stand up to Racism blasts those 'spreading their message of hate' after Henry Nowak murder Hundreds of demonstrators descended on a police station in Southampton to protest officers who ignored his pleas for help as his attacked Vickrum Digwa falsely claimed to be the victim of racism Stand up to Racism has slammed those "spreading their message of hate" following the murder of Henry Nowak. The Anti-racist organisation shared a heartfelt message for the family of 18-year-old Henry and...