Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …

The massive spread of false information on social media has become a global risk, implicitly
influencing public opinion and threatening social/political development. False information …

The prevalence and perniciousness of fake news has been a critical issue on the Internet,
which stimulates the development of automatic fake news detection in turn. In this paper, we …

In the buildup to and in the weeks following the Russian Federation's invasion of Ukraine,
Russian state media outlets output torrents of misleading and outright false information. In …

Online social media enables low cost, easy access, rapid propagation, and easy
communication of information, including spreading low-quality fake news. Fake news has …

The wide spread of fake news has caused huge losses to both governments and the public.
Many existing works on fake news detection utilized spreading information like propagators …

The prevalence and perniciousness of fake news have been a critical issue on the Internet,
which stimulates the development of automatic fake news detection in turn. In this paper, we …

Evidence-based fake news detection is to judge the veracity of news against relevant
evidences. However, models tend to memorize the dataset biases within spurious …

The ease of spreading false information online enables individuals with malicious intent to
manipulate public opinion and destabilize social stability. Recently, fake news detection …

In this paper, we study automatic rumor detection for in social media at the event level where
an event consists of a sequence of posts organized according to the posting time. It is …