An understudied area in the field of social media research is the design of decision support
systems that can aid the manager by way of automated message component generation …

Content marketing involves producing and distributing content effectively and initially
through digital channels. However, digital marketing strategies and business models can …

The widespread use of social media has rendered it a critical arena for online marketing
strategies. To optimize conversion rates, the landing pages must effectively respond to a …

Through writing short tweets in microblogging sites, millions of users document their life,
provide commentary and opinions, express deeply felt emotions, and articulate ideas. How …

Latent Dirichlet allocation (LDA) is a topic model that has been applied to various fields,
including user profiling and event summarization on Twitter. When LDA is applied to tweet …

With over 16 million tweets per hour, 600 new blog posts per minute, and 400 million active
users on Facebook, businesses have begun searching for ways to turn real-time consumer …

This paper presents a hierarchical generative model that captures the latent relation of
cause and effect underlying user behavioral-originated data such as papers, twitter and …

Digital journalism has faced a dramatic change and media companies are challenged to use
data science algorithms to be more competitive in a Big Data era. While this is a relatively …

People create and share content via online social networks, which provide an unparalleled
opportunity for brands to gain visibility, promote products or services and drive revenue …

Understanding user participation is fundamental in anticipating the popularity of online
content. In this paper, we explore how the number of users' comments during a short …