Social media users were found to be persuaded by misinformation and contribute to the
propagation of misinformation. It is important and urgent to understand the mechanisms …

False news that spreads on social media has proliferated over the past years and has led to
multi-aspect threats in the real world. While there are studies of false news on specific …

Purpose This study aims to investigate the mechanism of the misinformation spread based
on the elaboration likelihood model and the effects of four factors–emotion, topic, authority …

Background: Machine learning techniques have been shown to be efficient in identifying
health misinformation, but the results may not be trusted unless they can be justified in a way …

This paper investigates the divergence in investor behaviour between the United States and
China following the abolition of the Chinese presidential term limit in 2018, which may, in …

Verifying the validity of a social media message is challenging as the affordances of the
technology allow people to rapidly spread information to large groups of people. A potential …

The ongoing COVID-19 pandemic has led to a simultaneous infodemic, marked by a surge
of accurate and inaccurate information circulating online and across social media platforms …

Informal caregivers increasingly use social media for means of information sharing and
social support. We study the attention received by healthcare related social media posts …

Social media and the web have become primary sources for obtaining information and
news. Given the speed and spread of information on social media, effects of poor-quality …

Abstract Machine learning techniques have been shown to be efficient at identifying health
misinformation. However, interpreting a classification model remains challenging due to the …