A blockchain is a distributed system that achieves strong security guarantees in storing,
managing, and processing data. All blockchains achieve a common goal: building a …

Fake news detection has been a more urgent technical demand for operators of online
social platforms, and the prevalence of deep learning well boosts its development. From the …

Machine Learning models are being deployed as parts of real-world systems with the
upsurge of interest in artificial intelligence. The design, implementation, and maintenance of …

The spread of fake news across several fields has had serious negative impacts on the
public and society. Existing studies have shown that the use of multi-domain labels can …

Fake News creates erroneous suspense information that can be identified. This spreads
dishonesty about a country's status or overstates the expense of special functions for a …

Social media misinformation harms individuals and societies and is potentialized by fast-
growing multi-modal content (ie, texts and images), which accounts for higher “credibility” …

Social network users are not only news disseminators and consumers, but also
gatekeepers. News gatekeepers are regular users who actively participate in news …

Distributed detection over a blockchain-aided Internet of Things (BIoT) network in the
presence of attacks is considered, where the integrated blockchain is employed to secure …

This study reviews existing studies on misinformation. Our purposes are to understand the
major research topics that have been investigated by researchers from a variety of …

The formation of opinions is fundamentally a network-based process, where the opinions of
individuals in a social network exchange, evolve, and eventually converge towards a …