Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …

With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …

AbstractScale the model, scale the data, scale the compute'is the reigning sentiment in the
world of generative AI today. While the impact of model scaling has been extensively …

The automatic identification of harmful content online is of major concern for social media
platforms, policymakers, and society. Researchers have studied textual, visual, and audio …

People increasingly use social media platforms to express themselves by posting visuals
and texts. As a result, hate content is on the rise, necessitating practical visual caption …

Nowadays, the hate speech diffusion of texts and images in social network has become the
mainstream compared with the diffusion of texts-only, raising the pressing needs of …

Hateful meme detection is a challenging multimodal task that requires comprehension of
both vision and language, as well as cross-modal interactions. Recent studies have tried to …

The age of social media is rife with memes. Understanding and detecting harmful memes
pose a significant challenge due to their implicit meaning that is not explicitly conveyed …

Ensuring the moderation of hate speech and its targets emerges as a critical imperative
within contemporary digital discourse. To facilitate this imperative, the shared task …

Hateful meme detection is a new multimodal task that has gained significant traction in
academic and industry research communities. Recently, researchers have applied pre …