Background Health misinformation (HM) has emerged as a prominent social issue in recent
years, driven by declining public trust, popularisation of digital media platforms and …

In this special issue 'Fact or Fake: Information, Misinformation, and Disinformation via Social
Media', the Journal of Strategic Marketing presents a collection of papers that delve into …

Using deep neural networks to detect fake news has gradually become an extremely
important field of research. Recent studies, which adopt fine-tuning BERT to detect fake …

This paper introduces a prediction model rooted in sparse representation and transfer
learning, with the primary objective of predicting user behavior during rumor propagation …

Fake news detection is of crucial importance and has received great attention. However, the
existing fake news detection methods rarely consider the news release time, which limits the …

The spread of disinformation in online social networks (OSNs) poses a significant threat to
maintaining normal social order. It is important to understand when and how intervention …

With the emergence of online social networks (OSNs) incorporating multimodal media, it is
challenging to differentiate manipulated multimedia content due to unseen patterns. Social …

Fake news is a crucial issue in social media that spreads intentionally crafted false content
designed to mislead the public over the digital platform. Many communities have proposed …

The open and free nature of online platforms presents challenges for tracing malicious
information. To address this, we propose a traceability model based on neighborhood …

The influence maximization (IM) problem has received great attention in the field of social
network analysis, and its analysis results can provide reliable basis for decision makers …