On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning. (arXiv:2212.06573v1 [cs.SI])

The dissemination of hateful memes online has adverse effects on social media
platforms and the real world. Detecting hateful memes is challenging, one of
the reasons being the evolutionary nature of memes; new hateful memes can
emerge by fusing hateful connotations with other cultural ideas or symbols. In
this paper, we propose a framework that leverages multimodal contrastive
learning models, in particular OpenAI's CLIP, to identify targets of hateful
content and systematically investigate the evolution of hateful memes. We find …

memes