The proliferation of fake news and fake profiles on social media platforms poses significant
threats to information integrity and societal trust. Traditional detection methods, including …

The proliferation of online misinformation has posed significant threats to public interest.
While numerous online users actively participate in the combat against misinformation …

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 …

The swift detection of multimedia fake news has emerged as a crucial task in combating
malicious propaganda and safeguarding the security of the online environment. While …

Traffic forecasting is crucial for intelligent transportation systems. It has experienced
significant advancements thanks to the power of deep learning in capturing latent patterns of …

Large language models (LLMs) demonstrate great potential for problems with implicit
graphical structures, while recent works seek to enhance the graph reasoning capabilities of …

Automatic detection of multimodal misinformation has gained a widespread attention
recently. However, the potential of powerful Large Language Models (LLMs) for multimodal …

In today's digital media landscape, it's essential to evaluate the credibility of news language.
Analyzing certain parts of a news article enhances the assessment of its linguistic …

Both accuracy and timeliness are key factors in detecting fake news on social media.
However, most existing methods encounter an accuracy-timeliness dilemma: Content-only …

The overwhelming success of GPT-4 in early 2023 highlighted the transformative potential of
large language models (LLMs) across various sectors, including national security. This …