As social media platforms are evolving from text-based forums into multi-modal
environments, the nature of misinformation in social media is also transforming accordingly …

Fake news possesses a destructive and negative impact on our lives. With the rapid growth
of multimodal content in social media communities, multimodal fake news detection has …

Fake News on social media platforms has attracted a lot of attention in recent times, primarily
for events related to politics (2016 US Presidential elections), and healthcare (infodemic …

Methods for automatic disinformation detection have gained much attention in recent years,
as false information can have a severe impact on societal cohesion. Disinformation can …

The existing approaches based on different neural networks automatically capture and fuse
the multimodal semantics of news, which have achieved great success for fake news …

The wide spread of rumors across online microblogs has caused a series of adverse
impacts on our daily lives. Traditional multi-modal rumor detection models ignore the …

With the proliferation of social media, the detection of fake news has become a critical issue
that poses a significant threat to society. The dissemination of fake information can lead to …

We demonstrate the Misinformation Concierge, a proof-of-concept that provides actionable
intelligence on misinformation prevalent in social media. Specifically, it uses language …

In the current Internet landscape, the rampant spread of fake news, particularly in the form of
multi-modal content, poses a great social threat. While automatic multi-modal fake news …

Fact-checking is a crucial task as it ensures the prevention of misinformation. However,
manual fact-checking cannot keep up with the rate at which false information is generated …