Artificial Intelligence has gained a lot of popularity in recent years thanks to the advent of,
mainly, Deep Learning techniques. These algorithms have broken many of the barriers in …

The escalating prevalence of disinformation, or “fake news,” on social media platforms
represents a growing societal concern with far-reaching implications. Its ubiquitous …

We propose end-to-end multimodal fact-checking and explanation generation, where the
input is a claim and a large collection of web sources, including articles, images, videos, and …

Fake news is a real problem; unfortunately, it seems to worsen. Even though some false
news detection methods have made significant progress, current multimodal approaches …

Due to the exponential increase in internet and social media users, fake news travels
rapidly, and no one is immune to its adverse effects. Various machine learning approaches …

With the evolution of social media, cyberspace has become the default medium for social
media users to communicate, especially during high-impact events such as pandemics …

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

Multimodality Representation Learning, as a technique of learning to embed information
from different modalities and their correlations, has achieved remarkable success on a …

Online news consumption via social media platforms has accelerated the growth of digital
journalism. Adverse to traditional media, digital media has lower entry barriers and allows …

Numerous enhancements have been made to the mobile internet, which leads to an
increase the people's attention to posting more multi-modal posts among the social media …