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 …

MOMENTA: A multimodal framework for detecting harmful memes and their targets

S Pramanick, S Sharma, D Dimitrov, MS Akhtar… - arxiv preprint arxiv …, 2021 - arxiv.org
Internet memes have become powerful means to transmit political, psychological, and socio-
cultural ideas. Although memes are typically humorous, recent days have witnessed an …

Pro-cap: Leveraging a frozen vision-language model for hateful meme detection

R Cao, MS Hee, A Kuek, WH Chong, RKW Lee… - Proceedings of the 31st …, 2023 - dl.acm.org
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 …

Detecting and understanding harmful memes: A survey

S Sharma, F Alam, MS Akhtar, D Dimitrov… - arxiv preprint arxiv …, 2022 - arxiv.org
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 …

Disentangling hate in online memes

RKW Lee, R Cao, Z Fan, J Jiang… - Proceedings of the 29th …, 2021 - dl.acm.org
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 …

Towards explainable harmful meme detection through multimodal debate between large language models

H Lin, Z Luo, W Gao, J Ma, B Wang… - Proceedings of the ACM …, 2024 - dl.acm.org
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 …

Multimodal hate speech detection in memes using contrastive language-image pre-training

G Arya, MK Hasan, A Bagwari, N Safie, S Islam… - IEEE …, 2024 - ieeexplore.ieee.org
In contemporary society, the proliferation of online hateful messages has emerged as a
pressing concern, inflicting deleterious consequences on both societal fabric and individual …

Multimodal hate speech detection via cross-domain knowledge transfer

C Yang, F Zhu, G Liu, J Han, S Hu - Proceedings of the 30th ACM …, 2022 - dl.acm.org
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 …

On explaining multimodal hateful meme detection models

MS Hee, RKW Lee, WH Chong - … of the ACM web conference 2022, 2022 - dl.acm.org
Hateful meme detection is a new multimodal task that has gained significant traction in
academic and industry research communities. Recently, researchers have applied pre …

Beneath the surface: Unveiling harmful memes with multimodal reasoning distilled from large language models

H Lin, Z Luo, J Ma, L Chen - arxiv preprint arxiv:2312.05434, 2023 - arxiv.org
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 …