Multi-modal Stance Detection: New Datasets and Model

arXiv:2402.14298v1 Announce Type: new
Abstract: Stance detection is a challenging task that aims to identify public opinion from social media platforms with respect to specific targets. Previous work on stance detection largely focused on pure texts. In this paper, we study multi-modal stance detection for tweets consisting of texts and images, which are prevalent in today's fast-growing social media platforms where people often post multi-modal messages. To this end, we create five new multi-modal stance detection datasets of different domains …

abstract arxiv cs.cl datasets detection identify images media modal multi-modal opinion paper platforms public social social media social media platforms study targets tweets type work