This survey reviews the phenomenon of rumor propagation in social networks, defining
rumors and their manifestations, and highlighting the societal confusion, panic, and harm …

Fake news detection is growing in importance as a key topic in the information age.
However, most current methods rely on pre-trained small language models (SLMs), which …

Multimodal Sentiment Analysis (MSA) aims to identify speakers' sentiment tendencies in
multimodal video content, raising serious concerns about privacy risks associated with …

The limited data availability and the low signal-to-noise ratio of fMRI signals lead to the
challenging task of fMRI-to-image retrieval. State-of-the-art MindEye remarkably improves …

Stance detection seeks to identify the viewpoints of individuals either in favor or against a
given target or a controversial topic. Current advanced neural models for stance detection …

In current web environment, fake news spreads rapidly across online social networks,
posing serious threats to society. Existing multimodal fake news detection (MFND) methods …

Multimodal fake news detection aims to automatically identify real or fake news, thereby
mitigating the adverse effects caused by such misinformation. Although prevailing …

Introduction The proliferation of social media platforms has facilitated the spread of fake
news, posing significant risks to public perception and societal stability. Existing methods for …