TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes. (arXiv:2204.06299v1 [cs.CL])

The detection of offensive, hateful content on social media is a challenging
problem that affects many online users on a daily basis. Hateful content is
often used to target a group of people based on ethnicity, gender, religion and
other factors. The hate or contempt toward women has been increasing on social
platforms. Misogynous content detection is especially challenging when textual
and visual modalities are combined to form a single context, e.g., an overlay
text embedded on top of an …

architecture arxiv classification detection multimodal va