The wide spread of fake news is increasingly threatening both individuals and society. Great
efforts have been made for automatic fake news detection on a single domain (eg, politics) …

As large language models (LLMs) become increasingly capable and widely deployed, the
risk of them generating misinformation poses a critical challenge. Misinformation from LLMs …

Fake news detection plays a crucial role in protecting social media users and maintaining a
healthy news ecosystem. Among existing works, comment-based fake news detection …

Deepfake videos are increasingly used in spreading fake news or propaganda having a
serious impact on people and society. Traditional deepfake detectors exploit spatial and/or …

The emergence of social media has fundamentally changed the way of scholarly
communication and allows for scientific research to be shared at an unprecedented speed …

With information consumption via online video streaming becoming increasingly popular,
misinformation video poses a new threat to the health of the online information ecosystem …

Rumour veracity on social networks aims to determine the authenticity of a claim based on
the conversation graph. Current works typically employ graph neural networks (GNNs) to …

The rising sentiment challenges of the metropolitan residents may be attributed to the
extreme temperatures. However, nationwide real-time empirical studies that examine this …

The proliferation of fake news has emerged as a severe societal problem, raising significant
interest from industry and academia. While existing deep-learning based methods have …

Misinformation on social media is a nonnegligible phenomenon that causes successive
adverse impacts. Numerous scholarly efforts have been devoted to automatic misinformation …