Multimodal fake news detection methods based on semantic information have achieved
great success. However, these methods only exploit the deep features of multimodal …

Amid the proliferation of misinformation on social networks, automated rumor detection has
emerged as a pivotal and pressing research domain. Nonetheless, current methodologies …

The goal of gait recognition is to identify a person from a distance based on their walking
style using a visual camera. However, the covariates such as a walk with carrying a bag and …

The wide spread of fake news and its negative impacts on society has attracted a lot of
attention to fake news detection. In existing fake news detection methods, particular attention …

Since the present era is entirely computer and Internet of Things (IoT) oriented, enormous
amounts of data are produced quickly from many sources. Machine learning's primary …

Graphs are structured data that models complex relations between real-world entities.
Heterophilic graphs, where linked nodes are prone to be with different labels or dissimilar …

The propagation of rumours on social media poses an important threat to societies, so that
various techniques for graph-based rumour detection have been proposed recently. Existing …

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 …

Over the years, there has been a rise in the number of fabricated and fake news stories that
utilize both textual and visual information formats. This coincides with the increased …

The massive spread of rumors on social media has become a major global challenge,
increasing the urgent demand for rumor detection. Although social circles are ubiquitous in …