Fake news possesses a destructive and negative impact on our lives. With the rapid growth
of multimodal content in social media communities, multimodal fake news detection has …

Fake news detection (FND) has attracted much research interests in social forensics. Many
existing approaches introduce tailored attention mechanisms to fuse unimodal features …

Previous researches on multimedia fake news detection include a series of complex feature
extraction and fusion networks to gather useful information from the news. However, how …

Since the rapid dissemination of fake news brings a lot of negative effects on real society,
automatic fake news detection has attracted increasing attention in recent years. In most …

The easy sharing of multimedia content on social media has caused a rapid dissemination
of fake news, which threatens society's stability and security. Therefore, fake news detection …

Fake news spreads at unprecedented speeds through online social media, raising many
concerns and negative impacts on a variety of domains. To control this issue, Fake News …

When natural disasters such as floods, earthquakes, terrorist attacks, and industrial
accidents occur, first responders, news agencies, and victims increasingly use social media …

Detecting fake news has received a lot of attention. Many previous methods concatenate
independently encoded unimodal data, ignoring the benefits of integrated multimodal …

In view of the various adverse effects, fake news detection has become an extremely
important task. So far, many detection methods have been proposed, but these methods still …