Detecting misogynous memes poses a significant challenge due to the presence of multiple
modalities (image+ text). The inherent complexity arises from the lack of direct …

Abstract Facial Recognition Systems (FRSs) are being developed and deployed all around
the world at unprecedented rates. Most platforms are designed in a limited set of countries …

Harmful memes have proliferated on the Chinese Internet, while research on detecting
Chinese harmful memes significantly lags behind due to the absence of reliable datasets …

The prevalence of offensive content on the internet, encompassing hate speech and
cyberbullying, is a pervasive issue worldwide. Consequently, it has garnered significant …

This paper delves into the formidable challenge of cross-domain generalization in
multimodal hate meme detection, presenting compelling findings. We provide enough …

The widespread presence of hate speech on the internet, including formats such as text-
based tweets and vision-language memes, poses a significant challenge to digital platform …

Offensive language on social media is a serious social problem, which affects people's
mental health and social harmony. However, there is a lack of effective detection methods …

Memes are a modern form of communication and meme templates possess a base
semantics that is customizable by whomever posts it on social media. Machine learning …

Hateful meme detection aims to prevent the proliferation of hateful memes on various social
media platforms. Considering its impact on social environments, this paper introduces a …

Internet memes, channels for humor, social commentary, and cultural expression, are
increasingly used to spread toxic messages. Studies on the computational analyses of toxic …