One of today's most controversial and consequential issues is whether the global uptake of
digital media is causally related to a decline in democracy. We conducted a systematic …

The world of today presents a duality of phenomenal progress and persistent ills. Amid such
existential contradictions, public deliberation forms one of the central pillars of a functional …

Stance detection is an evolving opinion mining research area motivated by the vast increase
in the variety and volume of user-generated content. In this regard, considerable research …

Social media are often accused of worsening the quality of online debate. In this paper, we
focus on group polarization in the context of social media-enabled interaction, a …

With the explosive growth of online social media, the ancient problem of information
disorders interfering with news diffusion has surfaced with a renewed intensity threatening …

In recent years, social media has become a ubiquitous and integral part of social discourse.
Homophily is a fundamental topic in network science and can provide insights into the flow …

SardiStance is the first shared task for Italian on the automatic classification of stance in
tweets. It is articulated in two different settings: A) Textual Stance Detection, exploiting only …

Social media platforms provide users the freedom of expression and a medium to exchange
information and express diverse opinions. Unfortunately, this has also resulted in the growth …

COVID-19 vaccines have been largely debated by the press. To understand how
mainstream and alternative media debated vaccines, we introduce a paradigm …

Stance detection is a relatively new concept in data mining that aims to assign a stance label
(favor, against, or none) to a social media post towards a specific pre-determined target …