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Detecting hate speech in memes: a review
PCQ Hermida, EM Santos - Artificial Intelligence Review, 2023 - Springer
Methods that detect hate speech in memes have become vital in our connected society,
especially in the context of many social media companies. Memes are a quick way to …
especially in the context of many social media companies. Memes are a quick way to …
MOMENTA: A multimodal framework for detecting harmful memes and their targets
Internet memes have become powerful means to transmit political, psychological, and socio-
cultural ideas. Although memes are typically humorous, recent days have witnessed an …
cultural ideas. Although memes are typically humorous, recent days have witnessed an …
Pro-cap: Leveraging a frozen vision-language model for hateful meme detection
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 …
both vision and language, as well as cross-modal interactions. Recent studies have tried to …
Detecting and understanding harmful memes: A survey
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 …
platforms, policymakers, and society. Researchers have studied textual, visual, and audio …
Disentangling hate in online memes
Hateful and offensive content detection has been extensively explored in a single modality
such as text. However, such toxic information could also be communicated via multimodal …
such as text. However, such toxic information could also be communicated via multimodal …
Towards explainable harmful meme detection through multimodal debate between large language models
The age of social media is flooded with Internet memes, necessitating a clear grasp and
effective identification of harmful ones. This task presents a significant challenge due to the …
effective identification of harmful ones. This task presents a significant challenge due to the …
Multimodal hate speech detection in memes using contrastive language-image pre-training
In contemporary society, the proliferation of online hateful messages has emerged as a
pressing concern, inflicting deleterious consequences on both societal fabric and individual …
pressing concern, inflicting deleterious consequences on both societal fabric and individual …
Multimodal hate speech detection via cross-domain knowledge transfer
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 …
mainstream compared with the diffusion of texts-only, raising the pressing needs of …
On explaining multimodal hateful meme detection models
Hateful meme detection is a new multimodal task that has gained significant traction in
academic and industry research communities. Recently, researchers have applied pre …
academic and industry research communities. Recently, researchers have applied pre …
Beneath the surface: Unveiling harmful memes with multimodal reasoning distilled from large language models
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 …
pose a significant challenge due to their implicit meaning that is not explicitly conveyed …