The COVID‐19 pandemic demanded an immediate response from the research community,
including adjustment to how researchers undertake research. As in many fields, information …

To exactly classify sentiments of microblog reviews with emojis in microblog social networks,
this paper first proposes an emoji vectorisation method to achieve emoji vectors. Then, an …

This study systematically reviews the research on applying social media data (SMD) in
business decision-making. We applied bibliometric mapping and a Latent Dirichlet …

In the last few years, many service organisations have been exploring the use of Generative
Artificial Intelligence (GAI) tools for their businesses and upgrading their existing processes …

Motivated by the realistic demand of controlling the Internet public opinion risk caused by the
local outbreak of COVID-19, this paper creatively proposes a COVID-19 local outbreak …

Managing an extreme event like a healthcare disaster requires accurate information about
the event's circumstances to comprehend the full consequences of acting. However …

Purpose This study aims to explore customers' second-hand clothing purchases and their
engagement on the Facebook marketplace. Design/methodology/approach A conceptual …

Most hotel recommendation systems currently rely on text-based information or meta-data.
We develop a deep network recommendation model with three modalities–picture, review …

Negative online public sentiment generated by government mishandling of pandemics and
other disasters can easily trigger widespread panic and distrust, causing great harm. It is …

This study adopts a longitudinal approach to analyse the attribution of blame in online
comments for the emergence, continuation and consequences of COVID-19. It uses an …