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 …

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 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) …

The ubiquity of social media and their deep integration in the contemporary society has
granted new ways to interact, exchange information, form groups, or earn money—all on a …

Nowadays, online social media play a significant role in news broadcasts due to their
convenience, speed, and accessibility. Social media platforms leverage the rapid production …

The wide dissemination of fake news is increasingly threatening both individuals and
society. Fake news detection aims to train a model on the past news and detect fake news of …

The spread of fake news has become a significant social problem, drawing great concern for
fake news detection (FND). Pretrained language models (PLMs), such as BERT and …

Graph-based anomaly detection has been widely used for detecting malicious activities in
real-world applications. Existing attempts to address this problem have thus far focused on …

Fake news detection is crucial for preventing the dissemination of misinformation on social
media. To differentiate fake news from real ones, existing methods observe the language …

Misinformation has been a persistent and harmful phenomenon affecting our society in
various ways, including individuals' physical health and economic stability. With the rise of …