The deluge of digital information in our daily life—from user-generated content, such as
microblogs and scientific papers, to online business, such as viral marketing and advertising …

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 …

Due to the Web expansion, the prediction of online news popularity is becoming a trendy
research topic. In this paper, we propose a novel and proactive Intelligent Decision Support …

Social media platforms have democratized the process of web content creation allowing
mere consumers to become creators and distributors of content. But this has also contributed …

A growing number of people are changing the way they consume news, replacing the
traditional physical newspapers and magazines by their virtual online versions or/and …

Personalized news recommendation methods are widely used in online news services.
These methods usually recommend news based on the matching between news content …

Building upon recent Deep Neural Network architectures, current approaches lying in the
intersection of Computer Vision and Natural Language Processing have achieved …

This book presents recent developments on the theoretical, algorithmic, and application
aspects of Big Data in Complex and Social Networks. The book consists of four parts …

Purpose Following the hierarchy-of-effects model, this study aims to propose a two-step
process framework to investigate social media post efficacy via attraction and likes …

Popularity prediction has been studied in diverse online contexts with demonstrable
practical, sociological and technical benefit. Here, we add to the popularity prediction …