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 …

Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities

DSM Pandiani, ETK Sang, D Ceolin - arXiv preprint arXiv:2406.07353, 2024 - arxiv.org
Internet memes, channels for humor, social commentary, and cultural expression, are
increasingly used to spread toxic messages. Studies on the computational analyses of toxic …

Meme Expressive Classification in Multimodal State with Feature Extraction in Deep Learning

A Barveen, S Geetha… - 2023 Second International …, 2023 - ieeexplore.ieee.org
Memes are a socially interactive way to communicate online. Memes are used by users to
communicate with one another on social networking sites and other forums. Memes …

Multilate Classifier: A Novel Emsemble of Cnn-Bilstm with Resnet-Based Multimodal Classifier for Ai-Generated Hate Speech Detection

A Vetagiri, P Mogha, P Pakray - Available at SSRN 4951337 - papers.ssrn.com
The rise of multimodal hate speech, which combines text and visual elements, poses
significant challenges for online content moderation. Traditional detection models often …

Classification of Hateful Memes by Multimodal Analysis using CLIP

S Munzni, S Dixit, A Bhat - 2023 4th International Conference …, 2024 - ieeexplore.ieee.org
Due to the widespread usage of social media platforms, memes and other hateful contents
have become a major concern as they propagate harmful stereotypes, and often inciting …