Internet memes, while often humorous in nature, can be used to spread hate speech, toxic
content, and disinformation across the digital information ecosystem. As a result, detecting …

Fake news, hate speech and offensive language are related evil triplets currently affecting
modern societies. Text modality for the computational detection of these phenomena has …

The detection of fake news and harmful languages has become increasingly important in
today's digital age. As the prevalence of fake news and harmful languages continue to …

In many practical scenarios, contents from different modalities are not semantically aligned;
for instance, visual and textual information may conflict with each other, resulting in non …

Online misinformation is often multimodal in nature, ie, it is caused by misleading
associations between texts and accompanying images. To support the fact-checking …

Understanding a meme is a challenging task, due to the metaphorical information contained
in the meme that requires intricate interpretation to grasp its intended meaning fully. In …

Internet memes are a special type of digital content that is shared through social media.
They have recently emerged as a popular new format of media communication. They are …

This paper has been accepted in the NeurIPS 2024 D & B Track. Harmful memes have
proliferated on the Chinese Internet, while research on detecting Chinese harmful memes …

Meme is a very popular term prevailing among almost all social media platforms in recent
days. A meme can be a combination of text and image whose sole purpose is meant to be …

Memes are an increasingly prevalent element of online discourse in social networks,
especially among young audiences. They carry ideas and messages that range from …