Within OSNs, many of our supposedly online friends may instead be fake accounts called
social bots, part of large groups that purposely re-share targeted content. Here, we study …

Information diffusion, information spread, and influencers are important concepts in many
studies on social media, especially Twitter analytics. However, literature overviews on the …

The spread of misinformation on social media has become a major societal issue during
recent years. In this work, we used the ongoing COVID‐19 pandemic as a case study to …

CONTEXT The agri-food system is undergoing pervasive changes in business models,
facilitated by the use of digital technologies. Although today it is almost inevitable for any …

We explore the effects of coordinated users (ie, users characterized by an unexpected,
suspicious, or exceptional similarity) in information spreading on Twitter by quantifying the …

The problem of community-level information pathway prediction (CLIPP) aims at predicting
the transmission trajectory of content across online communities. A successful solution to …

The rise of bots and their influence on social networks is a hot topic that has aroused the
interest of many researchers. Despite the efforts to detect social bots, it is still difficult to …

Purpose–This paper aims to contribute to deepening insights on social media in agricultural
research by presenting a case study on how a research and education centre in Mexico …

To study the various factors influencing the process of information sharing on Twitter is a
very active research area. This paper aims to explore the impact of numerical features …

Recently, social media and the internet have acted as major platforms for information
diffusion. This information diffusion is referred to as the flow of information over the medium …