Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …

Recent efforts in fake news detection have witnessed a surge of interest in using graph
neural networks (GNNs) to exploit rich social context. Existing studies generally leverage …

Recent years have witnessed a massive growth in the proliferation of fake news online. User-
generated content is a blend of text and visual information leading to producing different …

The exponential proliferation of fake news in recent years has emphasized the demand for
automated fake news detection. Several techniques for detecting fake news have yielded …

With the popularization of digital technology, the problem of information pollution caused by
fake news has become more common. Malicious dissemination of harmful, offensive or …

The high level of technological development has enabled fake news to spread faster than
real news in cyberspace, leading to significant impacts on the balance and sustainability of …

The rapid dissemination of fake news and rumors through the Internet and social media
platforms poses significant challenges and raises concerns in the public sphere. Automatic …

Though a fair amount of research is being done to address disinformation in online social
media, it has so far managed to stay ahead of the researchers' learning curves forcing the …

Modern social media's development has dramatically changed how people obtain
information. However, the wide dissemination of various false information has severe …