Fake news on social networks is a challenging problem due to the rapid dissemination and
volume of information, as well as the ease of creating and sharing content anonymously …

At present, most people prefer using different online sources for reading news. These
sources can easily spread fake news for several malicious reasons. Detecting this unreliable …

Today, detecting fake news has become challenging as anyone can interact by freely
sending or receiving electronic information. Deep learning processes to detect multimodal …

Social networks are rife with noise and misleading information, presenting multifaceted
challenges for rumor detection. In this paper, from the perspective of human cognitive …

The increasing spread of false information requires advanced detection methods. This study
provides a thorough examination of the various strategies used to identify fake news …

The proliferation of fake news on social media platforms has raised concerns about the
reliability and trustworthiness of online information. To combat this issue, automatic fake …

Globally, the usage of social media has significantly increased and has become the most
common way for people to deplete news. The easy sharing of multimedia content on social …

Stance detection has attracted wide attention, especially on social media platforms, which is
particularly challenging. It can be regarded as a short text classification task, which aims to …

Social media and the web have become the source of misinformation dissemination today.
The users generate a variety of misinformation in different categories and forms. The …