Background Vaccine hesitancy continues to limit global efforts in combatting the COVID-19
pandemic. Emerging research demonstrates the role of social media in disseminating …

There have been growing concerns regarding the potential impact of social media on
democracy and public debate. While some theorists have claimed that ICTs and social …

Language models (LMs) are pretrained on diverse data sources, including news, discussion
forums, books, and online encyclopedias. A significant portion of this data includes opinions …

Politics has in recent decades entered an era of intense polarization. Explanations have
implicated digital media, with the so-called echo chamber remaining a dominant causal …

Supervised machine learning is an increasingly popular tool for analyzing large political text
corpora. The main disadvantage of supervised machine learning is the need for thousands …

Political polarization on the digital sphere poses a real challenge to many democracies
around the world. Although the issue has received some scholarly attention, there is a need …

There has been much concern over the impact of partisan echo chambers and filter bubbles
on public debate. Is this concern justified, or is it distracting us from more serious issues …

Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

We offer comprehensive evidence of preferences for ideological congruity when people
engage with politicians, pundits, and news organizations on social media. Using 4 years of …